INTERNATIONAL SYMPOSIUM ON

DIGITAL FORENSICS AND SECURITY

SYMPOSIUM PROGRAM AND ABSTRACTS

EDITED BY

PROF. DR. ASAF VAROL

ASSOC. PROF. DR. MURAT KARABATAK

ASSOC. PROF. DR. CİHAN VAROL

DR. SONGÜL KARABATAK

Consortium Members:

8TH INTERNATIONAL SYMPOSIUM ON DIGITAL

FORENSICS AND SECURITY

1-2 JUNE 2020

BEIRUT - LEBANON

SYMPOSIUM PROGRAM AND ABSTRACTS

EDITED BY

PROF. DR. ASAF VAROL

ASSOC. PROF. DR. MURAT KARABATAK

ASSOC. PROF. DR. CİHAN VAROL

DR. SONGÜL KARABATAK

BEIRUT - LEBANON

2020

WELCOME NOTE FROM GENERAL CHAIR

COVID-19 has been an unprecedented challenge for every nation in the world. While most of us moved to online/remote teaching to protect ourselves and our loved ones, we continue to cheer the heroics of nurses, physicians, and other essential personal who serves us. Once this pandemic started to show up in the headlines, we took a proactive approach, early in March, and got approved by IEEE to conduct this year’s symposium series remotely.

ISDFS has been held every year since its first occurrence in 2013. Therefore, as the organizers of the event we did not want to skip a year no matter what the circumstances were going to be. In the end, this new lifestyle increased the importance of cyber security and digital forensics as institutions/companies are moving more towards the online practice of their businesses. Therefore, the importance of sharing ideas about cyber security and digital forensics with research/teaching communities and technology companies is more vital than yesterday.

We truly hope we can physically get together for the 9th series of the event in 2021. However, it is evident that we will not able to go back to the lifestyle that we had before the pandemic and need to be ready for similar circumstances in future. That is why we know that this year’s event is not intended to be all-inclusive but will evolve over time as we learn more about this experience as it provides important questions and checklists to consider moving forward.

While originally scheduled to be held in Beirut, Lebanon, this year’s event, the 8th International Symposium on Digital Forensic and Security (ISDFS 2020) is held remotely/online. ISDFS (http://www.isdfs.org) is an International symposium originally initiated in May, 2013 by the Department of Software Engineering of College of Technology at Firat University, Turkey. ISDFS is organized by a consortium consists of Firat University (TR), Sam Houston State University (USA), Gazi University (TR), University of Arkansas at Little Rock (USA), San Diego State University (USA), Youngstown State University (US), Hacettepe University (TR), the University of Medicine, Pharmacy, Sciences and Technology of Tirgu Mures, Romania (RO), Polytechnic Institute of Cavado and Ave (PT), Balıkesir University (TR), Başkent University (TR), Association of Software and Cyber Security of Turkey, HAVELSAN, Lebanon Arab Open University (LB) and Singidunum University, Serbia (SRB).

Historically, the first symposium in the chain was hosted by Firat University in Elazig Turkey on May 20-21, 2013; the second at Sam Houston State University in Houston, Texas, USA on May 12-13, 2014; the third at the Gazi University in Ankara, Turkey on May 11-12, 2015; the fourth at the University of Arkansas at Little Rock in Little Rock, Arkansas, USA on April 25-27, 2016; the fifth at the University of Medicine, Pharmacy, Sciences and Technology of Tirgu Mures, Romania on April 26-28, 2017; the sixth one in Antalya, Turkey, on March 25-28, 2018; and the seventh one at the Polytechnic Institute of Cavado and Ave in Barcelos, Portugal, on June 10-12, 2019.

The symposium technical program organized into five tracks; Digital Forensics, Information Security, Data Privacy, Cryptography, and Computer Science in general.

Starting with the symposium in Arkansas, the conference has been sponsored by the IEEE Society and scholarly works disseminated in the symposium have been cited by Xplore Scientific Index.

I would like to express my sincere gratitude and appreciation to all of the consortium members for helping ISDFS to grow each year. We have received 92 paper submissions this year even though the negative effects of Covid-19. I also would like to extend my appreciation to the IEEE Lebanon Section, and Dr. Yara Abdalla, Rector of Arab Open University in Beirut/Lebanon and Dr. Hassan Sbeyti for their generosity in support of ISDFS 2020, and I would like to take this opportunity to thank Scientific Committee Members for their help during the paper review process.

Sincerely Yours,

June 1st, 2020

Prof. Dr. Asaf Varol General Coordinator of ISDFS

II

ORGANIZING COMMITTEE

Term Chairs of ISDFS-2020

Assoc. Prof. Dr.-Eng. Hasan Sbeyti, Arab Open University, Beirut, LB

General Chair of ISDFS

Prof. Dr. Asaf Varol, Fırat University, TR

Co-Chairs and Program Chairs

Assoc. Prof. Dr. Cihan Varol, Sam Houston State University, USA

Assoc. Prof. Dr. Murat Karabatak, Firat University, TR

Dr. Bachar A. Elhassan – Lebanese University, LB

Dr. Nazih Mobayed – IEEE Lebanon Section, LB

Dr. Mohammad Awwad – IEEE Lebanon Section, LB

Dr. Jacques Demerjian – IEEE Lebanon Section, LB

Dr. Usama Farrukh – IEEE Lebanon Section, LB

Conference Registration and Arrangements Committee

Asst. Prof. Dr. Tamer Kavuran, Graphic Design, Firat University, TR

Asst. Prof. Dr. Mehmet KAYA, Conference Arrangements, Syracuse University, USA

Dr. Songül Karabatak, Conference Arrangements, Firat University, TR

Ahmet Çotur, Web Design and Programming, Firat University, TR

Publications Committee Members

Assoc. Prof. Dr. Murat Karabatak, Firat University, TR

Assoc. Prof. Dr. Cihan Varol, Sam Houston State University, USA

Consortium members

Prof. Dr. Asaf Varol, Firat University, TR

Prof. Dr. Peter Alan Cooper, Sam Houston State University, USA

Prof. Dr. Şeref Sağıroğlu, Gazi University, TR

Prof. Dr. Coşkun Bayrak, Youngstown State University, USA

Assoc. Prof. Dr. Haller Piroska, University of Medicine, Pharmacy, Sciences and Technology, RO

Prof. Dr. Maria Manuela Cruz-Cunha, Polytechnic Institute of Cávado and Ave, PT

Assoc. Prof. Dr. Hassan Sbeity, Arab Open University, LB

Prof. Dr. Yusuf Öztürk, San Diego State University, USA

Prof. Dr. Çetin Arslan, Hacettepe University, TR

Assoc. Prof. Dr. Ayhan İstanbullu, Balıkesir University, TR

Assoc. Prof. Dr. İzzet Gökhan Özbilgin, Havelsan Technology and Academy Director, TR

Prof. Dr. Milan Tuba, Singidunum University, RS

Association of Software and Cyber Security of Turkey, TR

III

SCIENTIFIC COMMITTEE MEMBERS First Name Middle Last Name Organization

Abdulsamet Hasiloglu Ataturk University, TR Ahmet Hamdi Atalay HAVELSAN, TR Ahmad Fadlallah USAL, LB Ahmet Hasan Koltuksuz Yasar University, TR Ali Aydin Selçuk TOBB ETU, TR Ali Yazici Atilim University, TR Antal Margit Sapientia University, RO Asaf Varol Firat University, TR Atila Bostan Atilim University, TR Ayhan Erdem Gazi University, TR Ayhan Istanbullu Balikesir University, TR Bachar Ahmed Elhassan Lebanese University, LB Baris Aksanli San Diego University, USA Bassem Haidar Public Lebanese University, LB Bedri Ozer Firat University, TR Bela Genge Univ. of Medicine, Pharmacy, Sciences and Techn. RO Bogdan Robu Grenoble Institute of Technology, FR Bünyamin Ciylan Gazi University, TR Cetin Kaya Koc Istinye University, TR Chia-Chu Chiang University of Arkansas at Little Rock, US Chris Bowerman University of Sunderland, UK Cihan Varol Sam Houston State University, USA Coskun Bayrak Youngstown State University, USA Dimitris Geneiatakis Aristotle University of Thessaloniki, GR Ecir Ugur Kucuksille Suleyman Demirel University, TR Enis Karaarslan Marmara University, TR Erkan Tanyildizi Firat University, TR Erkay Savas Sabanci University, TR Esref Adali ITU, TR Fahad Salamh Purdue University, USA Fakis Alexandros University of the Aegean, GR Fatih Ozkaynak Firat University, TR Ferruh Ozbudak METU, TR Georgios Kambourakis University of the Aegean, GR Georgios Karopoulos University of Athens, GR Gheorghe Sebestyen Technical University of Cluj-Napoca, RO Hamadou Saliah Hassane Teluq University, CA Hassan Noura Arab Open University, LB Hassan Sbeyti Arab Open University, LB Husrev Taha Sencar TOBB ETU, TR Ibrahim Halil Bulbul Ahmet Yesevi University, KZ Ibrahim Ozcelik Sakarya University, TR Ibrahim Sogukpinar Gebze Institute of Technology, TR Ioan Salomie Technical University of Cluj-Napoca, RO Ibrahim Turkoglu Firat University, TR Joao Vilaça Polytechnic Institute of Cávado and Ave, PT Jozsef Vssarhelyi University of Miskolc, HU Kenji Yoshigoe University of Arkansas at Little Rock, USA Lei Chen Georgia Southern University, USA Luis Ferreira Polytechnic Institute of Cávado and Ave, PT Maha Farouk Sabir King Abdulaziz University, SA Majed Sinane Public Lebanese University, LB Maria Manuela Cruz Cunha Polytechnic Institute of Cávado and Ave, PT

IV

Mehmet Kaya Syracuse University, USA Mohand Tahar Kechadi University College Dublin, IE Mohammad Awwad National Center of Remote Sensing, LB Mohammad Malli Arap Open University, LB Mohammad Sbeiti Deutsche Telecom, LB Muhammet Baykara Firat University, TR Muharrem Tolga Sakalli Trakya University, TR Murat Karabatak Firat University, TR Narasimha K. Shashidhar Sam Houston State University, USA Nazife Baykal METU-Cyprus, CY Nhien-An Le-Khac University College Dublin, IE Nuno Mateus Coelho Univ. of Trás os Montes e Alto Douro, PT Nuno Rodrigues Polytechnic Institute of Cávado and Ave, PT Ozgur Karaduman Firat University, TR Peter Alan Cooper Sam Houston State University, USA Raymond Choo University of South Australia, AU Razvan Deaconescu Univ. Politehnica of Bucharest, RO Resul Das Firat University, TR Sandro Carvalho Polytechnic Institute of Cávado and Ave, PT Sedat Akleylek Ondokuz Mayis University, TR Seethal Paluri San Diego State University, USA Selcuk Kavut Balikesir University, TR Sengul Dogan Firat University, TR Seref Sagiroglu Gazi University, TR Sheikh Ariful Islam University of South Florida, USA Songul Karabatak Firat University, TR Sundar Krishnan Sam Houston State University, USA Sunil Kumar San Diego State University, USA Suzanne McIntosh New York University, USA Sylvain Guilley Secure-IC S.A.S Rennes, FR Szabo Laszlo Sapientia University, RO Szanto Zoltan Sapientia University, RO Tolga Sakalli Trakya University, TR Tuncay Dincer Ege University, TR Turker Tuncer Firat University, TR Vajda Tamas Sapientia University, RO Yusuf Ozturk San Diego State University, USA Yusuf Tulgar Net Data Soft, TR Zisis Tsiatsikas University of the Aegean, GR

V

SYMPOSIUM PROGRAM

8TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSICS AND SECURITY

1 JUNE 2020, BEIRUT – LEBANON (ONLINE)

14:00-14:45 OPENING CEREMONY (SESSION CHAIR: PROF. DR. ASAF VAROL)

ASSOC. PROF. DR.-ENG. HASSAN SBEYTI TERM CHAIR OF ISDFS-2020

PROF. DR. ASAF VAROL GENERAL CHAIR OF ISDFS

MRS. DR. YARA ABDALLAH RECTOR OF ARAB OPEN UNIVERSITY, BEIRUT-LB

14:45-16:00 ONLINE PRESENTATIONS

PAPER ID 33: MULTI-KEY HOMOMORPHIC ENCRYPTION CREATE NEW MULTIPLE LOGIC GATES AND ARITHMETIC

CIRCUIT

YAP, CHERN NAM*; CHONG, KOK SEEN; TEW, ZHENG HONG

PAPER ID 42: ON THE CYBER SECURITY OF LEBANON: A LARGE SCALE EMPIRICAL STUDY OF CRITICAL VULNERABILITIES

FADLALLAH, YASSER*; SBEITI, MOHAMAD; HAMMOUD, MOHAMAD; NEHME, MOHAMAD; FADLALLAH,

AHMAD

PAPER ID 26: CHALLENGES OF ACQUIRING MOBILE DEVICES WHILE MINIMIZING THE LOSS OF USABLE FORENSICS

DATA

HERRERA, LAZARO A

OFFLINE PRESENTATIONS

INFORMATION SECURITY

PAPER ID 21: CLOUD COMPUTING SECURITY CHALLENGES AND THREATS

BALANI, ZINA*; VAROL, HACER

PAPER ID 30: TESTING IOT SECURITY: THE CASE STUDY OF AN IP CAMERA

ABDALLA, PESHRAW AHMED*; VAROL, CIHAN

PAPER ID 31: QIM-BASED SEMI-FRAGILE WATERMARKING FOR H.264 VIDEO AUTHENTICATION

EGOROVA, ANNA*; FEDOSEEV, VICTOR

PAPER ID 38: MINO: THE CHROME WEB BROWSER ADD-ON APPLICATION TO BLOCK THE HIDDEN CRYPTOCURRENCY

MINING ACTIVITIES

AKTEPE, SAFA*; VAROL, CIHAN; SHASHIDHAR, NARASIMHA K

PAPER ID 41: INTRODUCING THE ‘UNIFIED SIDE CHANNEL ATTACK MODEL’ (USCA-M)

JOHNSON, ANDREW*; WARD, RICHARD

PAPER ID 47: CYBERSECURITY EVALUATION WITH POWERSHELL

ZAVALA, STEVEN*; SHASHIDHAR, NARASIMHA KARPOOR; VAROL, CIHAN

PAPER ID 48: USING ITIL 4 IN SECURITY MANAGEMENT

BERGER, DERRICK*; SHASHIDHAR, NARASIMHA KARPOOR; VAROL, CIHAN

VI

PAPER ID 49: ON-PREMISES VERSUS SECAAS SECURITY MODELS

PLA, LUIS*; SHASHIDHAR, NARASIMHA KARPOOR; VAROL, CIHAN

PAPER ID 58: CLASSIFYING SOFTWARE VULNERABILITIES BY USING THE BUGS FRAMEWORK

ADHIKARI, THAMALI MADHUSHANI; WU, YAN*

PAPER ID 78: EXPLOITING VULNERABILITIES OF MRI SCANNER MACHINE: LEBANON CASE STUDY

NABHA, REEM AKRAM*, HASSAN SBEYTI

PAPER ID 79: SIGNATURE RECOGNITION USING MACHINE LEARNING

MSHIR, SHALAW*; KAYA, MEHMET

PAPER ID 80: MIRAI BOTNET IN LEBANON

IDRISS, HASAN*

CRYPTOGRAPHY

PAPER ID 51: AN EFFICIENT IP CORE OF CONSULTATIVE COMMITTEE FOR SPACE DATA SYSTEMS (CCSDS)

RECOMMENDED AUTHENTICATED CRYPTOGRAPHIC ALGORITHM

MURALEEDHARAN, DEEPA*; DANIEL, SANIL K.

PAPER ID 81: OVERVIEW OF EFFICIENT SYMMETRIC CRYPTOGRAPHY: DYNAMIC VS STATIC APPROACHES

NOURA, HASSAN N.*; CHEHAB, ALI; COUTURIER, RAPHAËL

PAPER ID 88: CRITICAL ANALYSIS OF CRYPTOGRAPHIC ALGORITHMS

ALROUBIEI, MAZOON; ALYARUBI, THURAIYA; KUMAR, BASANT*;

DATA PRIVACY

PAPER ID 59: A STUDY ON CYBER SECURITY CHALLENGES IN E-LEARNING MANAGEMENT SYSTEM

IBRAHIM, HABIB*; KARABATAK, SONGÜL; ABDULLAHI, ABDULLAHI ABBA

DIGITAL FORENSICS

PAPER ID 05: AUGMENTED REALITY BASED CRIMINAL INVESTIGATION SYSTEM (ARCRIME)

EHSAN I HAQUE, SHAHERYAR *; SALEEM, SHAHZAD

PAPER ID 08: A ROBUST COPY-MOVE FORGERY DETECTION IN DIGITAL IMAGE FORENSICS USING SURF

BADR, ABDELHALIM*; YOUSSIF, ALIAA A. A.; WAFI, MAGED

PAPER ID 13: THE ROLE OF MACHINE LEARNING IN DIGITAL FORENSICS

QADIR, ABDALBASIT MOHAMMED*; VAROL, ASAF

PAPER ID 25: IMPORTANCE OF ROOTING IN AN ANDROID DATA ACQUISITION

BOUEIZ, MARY ROSE*

PAPER ID 29: AN ANDROID CASE STUDY ON TECHNICAL ANTI-FORENSIC CHALLENGES OF WHATSAPP APPLICATION

MIRZA, MOHAMMAD M.; SALAMH, FAHAD; KARABIYIK, UMIT*

PAPER ID 37: REMOTE SENSING IMAGE INPAINTING WITH GENERATIVE ADVERSARIAL NETWORKS

GASHNIKOV, MIKHAIL*; KUZNETSOV, ANDREY

PAPER ID 39: GRAPHICALLY DISPLAY DATABASE TRANSACTIONS TO ENHANCE DATABASE FORENSICS

OROSCO, CHRISTINE*; VAROL, CIHAN; SHASHIDHAR, NARASIMHA K

PAPER ID 43: PREDICTING CRIME SCENE LOCATION DETAILS FOR FIRST RESPONDERS

KRISHNAN, SUNDAR*; ZHOU, BING

VII

PAPER ID 46: ANALYSIS OF IOS SQLITE SCHEMA EVOLUTION FOR UPDATING FORENSIC DATA EXTRACTION TOOLS

SHIMMI, SAMIHA; DORAI, GOKILA; KARABIYIK, UMIT*; AGGARWAL, SUDHIR

PAPER ID 55: METHOD FOR IMAGE COPYRIGHT PROTECTION BASED ON CONSRUCTION OF HIGHLY ROBUST

WATERMARKS

VYBORNOVA, YULIYA*

PAPER ID 60: A CONCETUAL FRAMEWORK FOR DATABASE ANTI-FORENSICS IMPACT MITIGATION

ADAMU, BASHIR ZAK*; KARABATAK, MURAT; ERTAM, FATIH

PAPER ID 61: DISTRICT RANSOMWARE: STATIC AND DYNAMIC ANALYSIS

ANDES, NEIL*; WEI, MINGKUI

PAPER ID 63: Z GENERATION STUDENTS AND THEIR DIGITAL FOOTPRINT

KARABATAK, SONGÜL*; KARABATAK, MURAT

PAPER ID 83: OVERVIEW OF DIGITAL FORENSICS AND ANTI-FORENSICS TECHNIQUES

MAJED, HUSSEIN; NOURA, HASSAN N.*; CHEHAB, ALI

PAPER ID 84: INTELLIGENCE IN DIGITAL FORENSICS PROCESS

ADAM, ILIYASU YAHAYA*; VAROL, CIHAN

COMPUTER SCIENCE

PAPER ID 09: QOS PARAMETERS FOR VIABLE SLA IN CLOUD

RAZA, MUHAMMAD RAHEEL*; VAROL, ASAF

PAPER ID 10: CLOUD AND FOG COMPUTING: A SURVEY TO THE CONCEPT AND CHALLENGES

VAROL, ASAF; RAZA, MUHAMMAD RAHEEL*; VAROL, NURHAYAT

PAPER ID 16: A REVIEW OF IMAGE SEGMENTATION USING MATLAB ENVIRONMENT

ABDULRAHMAN, AWF*; VAROL, SERKAN

PAPER ID 17: COMPARISON OF THE IOT PLATFORM VENDORS, MICROSOFT AZURE, AMAZON WEB SERVICES, AND

GOOGLE CLOUD, FROM USERS’ PERSPECTIVES

MUHAMMED, AINA’U SHEHU *; UCUZ, DERYA

PAPER ID 18: DESIGN AND IMPLEMENTATION OF A SIMPLE ONLINE COURT CASE MANAGEMENT SYSTEM BASED ON

THE ANDROID PLATFORM

ALI, CHAWAN TAHA HAMA*; VAROL, ASAF

PAPER ID 20: CINEMA STATION APPLICATION (CSA): AN AUGMENTED REALITY APPLICATION FOR ACCESSING FILM

INFORMATION AND ONLINE CINEMA BOOKING

ALKHURAIJI, SAMAR M*

PAPER ID 22: PREDICTING STUDENT’S FINAL GRADUATION CGPA USING DATA MINING AND REGRESSION METHODS:

A CASE STUDY OF KANO INFORMATICS INSTITUTE

DANBATTA, SALIM JIBRIN*; VAROL, ASAF

PAPER ID 27: CLASSIFICATION OF LIVE/LIFELESS ASSETS WITH LASER BEAMS IN DIFFERENT HUMIDITY ENVIRONMENTS

OLGUN, NEVZAT*; TÜRKOĞLU, İBRAHIM

PAPER ID 28: A STUDY ON AUTOMATIC SPEECH RECOGNITION SYSTEMS

IBRAHIM, HABIB*; VAROL, ASAF

PAPER ID 32: DECISION-TREE-BASED INTERPOLATION FOR MULTIDIMENSIONAL SIGNAL COMPRESSION

GASHNIKOV, MIKHAIL*

VIII

PAPER ID 44: FILTERING TURKISH SPAM USING LSTM FROM DEEP LEARNING TECHNIQUES

ERYILMAZ, ERSIN ENES*; ŞAHIN, DURMUŞ ÖZKAN; KILIÇ, ERDAL

PAPER ID 50: IN-DEPTH ANALYSIS OF SPEECH PRODUCTION, AUDITORY SYSTEM, EMOTION THEORIES AND EMOTION

RECOGNITION

ÜLGEN SÖNMEZ, YEŞIM*; VAROL, ASAF

PAPER ID 52: TIME SERIES DATABASE PREPROCESSING FOR DATA MINING USING PYTHON

ALSAADAWI, HUSSEIN FAROOQ TAYEB*; KARABATAK, MURAT; VAROL, CIHAN

PAPER ID 54: GPS-BASED MOBILE CROSS-PLATFORM CARGO TRACKING SYSTEM WITH WEB-BASED APPLICATION

QADIR, ABDALBASIT MOHAMMED *; COOPER, PETER

PAPER ID 62: STUDENTS' USAGE OF SMARTPHONES IN THE CLASSES

KARABATAK, SONGÜL; ALANOĞLU, MÜSLIM*

PAPER ID 65: REMOTE MONITORING REAL TIME AIR POLLUTION - IOT (CLOUD BASED)

KARABATAK, MURAT; MUSTAFA, TWANA*; ALI, CHAWAN TAHA HAMA

PAPER ID 66: TO REVIEW AND COMPARE EVOLUTIONARY ALGORITHMS IN OPTIMIZATION OF DISTRIBUTED DATABASE

QUERY

ABDALLA, MOHAMMED HUSSEIN*; KARABATAK, MURAT

PAPER ID 68: DATABASE SECURITY THREATS AND CHALLENGES

SULAIMAN, ABDULAZEEZ MOUSA*; KARABATAK, MURAT; MUSTAFA, TWANA

PAPER ID 70: EFFECT OF MEAN FILTER ON FACE IMAGE FROM VIDEO FRAMES

OTHMAN, PAWAN; MARQAS, RIDWAN BOYA*; ABULQADER, DILER; ALMOFTY, SAMAN

PAPER ID 73: REVIEW OF THE INTERNET OF THINGS FOR HEALTHCARE MONITORING

VAROL, ASAF; MUSTAFA, TWANA*

PAPER ID 82: BIG DATA ARCHITECTURE: DESIGNING THE RIGHT SOLUTION FOR SOCIAL NETWORK ANALYSIS

AGBO, INNOCENT O*; KUPRIYANOV, ALEXANDER; RYTSAREV, IGOR

PAPER ID 92: EFFECTS OF HOMEWORK SUPPORTED DISTANCE EDUCATION ON ACADEMIC SATISFACTION, ACADEMIC

ACHIEVEMENT, AND ATTITUDE TOWARDS DISTANCE EDUCATION

SONGÜL KARABATAK*; MÜSLIM ALANOĞLU; MURAT KARABATAK

1

ABSTRACTS

Paper ID: 05

Augmented Reality Based Criminal Investigation System (ARCRIME)

Shaheryar Ehsan I. Haque*, Shahzad Saleem

*NUST, Islamabad, Pakistan

*Email: shaque.bese17seecs@seecs.nust.edu.pk

Abstract— Crime scene investigation and preservation are fundamentally the pillars of forensics. Numerous

cases have been discussed in this paper where mishandling of evidence or improper investigation leads to

lengthy trials and even worse incorrect verdicts. Whether the problem is lack of training of first responders or

any other scenario, it is essential for police officers to properly preserve the evidence. Second problem is the

criminal profiling where each district department has its own method of storing information about criminals.

ARCRIME intends to digitally transform the way police combat crime. It will allow police officers to create

a copy of the scene of crime so that it can be presented in courts or in forensics labs. It will be in the form of

wearable glasses for officers on site whereas officers during training will be wearing a headset. The trainee

officers will be provided with simulations of cases which have already been resolved. Officers on scene would

be provided with intelligence about the crime and the suspect they are interviewing. They would be able to

create a case file with audio recording and images which can be digitally sent to a prosecution lawyer. This

paper also explores the risks involved with ARCRIME and also weighs in their impact and likelihood of

happening. Certain contingency plans have been highlighted in the same section as well to respond to

emergency situations.

Paper ID: 08

Move Forgery Detection In Digital Image Forensics Using SURF

Abdelhalim Badr*, Aliaa A. A. Youssif, Maged Wafi

*Helwan University

*Email: abdelhalim@fci.helwan.edu.eg

Abstract—In recent years, due to the technological revolution in editing digital images, various advanced

image manipulating software has been used to build new unrealistic images without leaving traces of what

happens, therefore tampering will be hard to detect visually. Digital image forgeries have many forms but still

recognizing copy-move forgery is very challenging. Hence, this paper introduces a new robust algorithm to

detect copy-move forgery based on Speeded Up Robust Feature (SURF) descriptor, Approximate Nearest

Neighbor (ANN) as a feature matching, Simple Linear Iterative Clustering (SLIC) used as a clustering

algorithm to divide the whole image into superpixel blocks. The doubted regions are determined by replacing

the matched feature points with corresponding superpixel blocks then the neighboring blocks have been

merged based on similar Local Color Features (LCF). Finally, morphological close operation applied to elicit

the doubted forged regions. Proposed algorithm recorded a running time of 3.84 seconds with 91.95%

localization accuracy applied on various datasets such as CoMoFoD, MICC-F2000, MICC-F220, and MICC-

F600 for detecting tampered plain copy-move, duplicate regions, post-processing and pre-processing attacks

like color reduction, blurring, brightness modifications, noise addition, geometric attacks, and JPEG

compression as an evaluation of robustness.

2

Paper ID: 09

QoS Parameters for Viable SLA in Cloud

Muhammad Raheel Raza*, Asaf Varol

*Fırat University

*Email: raheel_raza486@yahoo.com

Abstract— Quality of Service (QoS) is a key factor for a viable Service Level Agreement (SLA) which ensures

the formation of a reliable provider-consumer relationship in cloud computing. SLA ties up a service provider

with a service consumer on agreed upon terms and conditions so that the provider’s promised services and the

consumer’s requirements are fulfilled which results in a trustful relationship between them. In this paper, an

analysis of the existing literature is made to identify the gaps needed to be filled for establishing a trustful

relationship. The literature is classified w.r.t the QoS potential attributes i.e. trust, resource management, risk

management, security, task scheduling and performance etc. contributing to maintain a feasible SLA.

Paper ID: 10

Cloud and Fog Computing: A Survey to the Concept and Challenges

Asaf Varol, Muhammad Raheel Raza*, Nurhayat Varol

* Fırat University

*Email: raheel_raza486@yahoo.com

Abstract— Cloud Computing is one of the most emerging technologies that has transformed the macro world.

The advent of cloud computing is not less than an evolution and miracle to the technology. It has made the

on-demand availability of various scalable software resources possible over the internet. Although its

extraordinary services and advantages like reduction of computing and storage resources as well as reducing

cost, there are some barriers that limits and challenges the usability of cloud computing. On the

other hand, Fog Computing, another computing paradigm, is an extended and advanced version of cloud

computing. Having distributed nature, Fog Computing tries to address the limitations faced by cloud

computing. The paper provides a general study of the challenges faced by cloud computing and how fog

computing infrastructure serves to be an emerging technology to those limitations.

Paper ID: 013

The Role of Machine Learning in Digital Forensics

Abdalbasit Mohammed Qadir*, Asaf Varol

* Firat University

*Email: abdalbasitmohammed1@gmail.com

Abstract— Digital forensics, as a branch of the forensic sciences, is facing new challenges from the aspect that potential digital evidence is growing and expanding. Rapid development in the fields of computer science

and information technology provides innovative techniques for digital investigations. In this paper, the

important role of machine learning is explained as an application of artificial intelligence, and how it can be

used to analyse large amounts of diverse data-sets in order to reveal any criminal behavior and intent through

learning from previous and historical activities to predict criminal behaviors in the future.

3

Paper ID: 16

A Review of Image Segmentation Using MATLAB Environment

Awf Abdulrahman*, Serkan Varol

* Dohuk Polytechnic University

*Email: aofabd2@gmail.com

Abstract—Image segmentation is of great importance in understanding and analyzing objects within images.

The process involves dividing vague images into meaningful and useful ones by segmenting them and

subsequently evaluating them based on color density. This process is used in the medical, cultural and

industrial fields, among others. There are many functions used in image segmentation, including edge and

threshold functions. This paper will review these techniques, provide examples, and illustrate the types of

applicable images

Paper ID: 17

Comparison of the IoT Platform Vendors, Microsoft Azure, Amazon Web Services, and Google

Cloud, from Users’ Perspectives

Aina’u Shehu Muhammed*, Derya Ucuz

* Kano State College Of Education & Preliminary Studies

*Email: ainaushehu@gmail.com

Abstract— The largest Internet of Things (IoT) cloud platform vendors are Microsoft Azure, Amazon Web Services, and Google Cloud. These companies are known as the big three, and have all agreed to join the IoT

domain and concentrate on improving the services on their IoT platforms. While these platform descriptions

are extensive, users are constantly experiencing difficulties in making the right choice of which platform to

use, between the three. This paper presents a comparison of the big three, using the constraints of hubs,

analytics, and security. The study also provides some recommendations as to which IoT cloud platform vendor

is more ideal, notwithstanding the limitations of the study. In view of these results, users will be able to more

confidently select vendors, based on their demands and goals.

Paper ID: 18

Design and Implementation of a Simple Online Court Case Management System Based on the

Android Platform

Chawan Taha Hama Ali*, Asaf Varol

* University of Sulaimany

*Email: chawachicha@gmail.com

Abstract The main purpose of this research is to create a new application in Android Operating System for a complainant who cannot visit his/her lawyer regularly or unable to go out due to fear of his/her life. Thanks

to this research, a new application was established to make a bridge between a complainant and his/her lawyer.

Everything is done automatically after necessary data entered into the application. So, costs are reduced and

wasting of the time is diminished.

4

Paper ID: 20

Cinema Station Application (CSA): An Augmented Reality Application for Accessing Film

Information and Online Cinema Booking

Samar Alkhuraiji

King Abdulaziz University

Email: salkhuraiji@kau.edu.sa

Abstract— Cinema is an effective medium for education and recreation, as it plays a crucial social, political, educational, and moral role in life. Reopening cinemas in Saudi Arabia has garnered much attention from

cinema operators, moviemakers, and Saudi citizens who are eager to watch movies in cinemas. The main

problem that cinemas will face when they reopen will be the overwhelming demand for tickets, as it will be

difficult to reserve a ticket on a regular day and almost impossible for movie premieres. This paper describes

a Cinema Station Application (CSA), which is a mobile application for cinemas that allows users to search for

movies and cinema operators quickly and easily. Users have the opportunity to book a ticket anywhere and

anytime. Furthermore, the application uses augmented reality technology to display a movie trailer directly on

the poster and view reviews, the overall rating, and the cast.

Paper ID: 21

Cloud Computing Security Challenges and Threats

Zina Balani, Hacer Varol*

* Sam Houston State University

*Email: hacervarol@gmail.com

Abstract— In today’s sophisticated life, technology covers all aspects of our daily life, and that creates an environment for the attackers to access and attack a targeted organization easily with the lowest cost. However,

it is difficult for the organization to detect it easily. Cloud computing, users can store data across the network

in an online environment. Moreover, the data can be accessed everywhere across the world. Most people,

especially users who do not know enough about the increasing number of attacks and the development of

technology, are concerned about keeping their data in clouds because security is a critical issue. In the study

of this paper, some methods and techniques are provided to protect data in an online environment. These

methods and techniques have the lowest costs and can be employed by every user as an easy way to defend

themselves against attackers.

5

Paper ID: 22

Predicting Student’s Final Graduation CGPA Using Data Mining and Regression Methods: A Case

Study of Kano Informatics Institute

Salim Danbatta*, Asaf Varol

*Fırat University

*Email: salimdambatta@gmail.com

Abstract— Data mining and regression techniques are important methods that we can use to predict students’ performance to inform decision making. This study uses five regression techniques to analyse students’ first-

year cumulative grade point average (CGPA) and predict their final graduation CGPA. The data set used in

this study is that of programming and software development students at Kano Informatics Institute. The results

and the grades obtained by 163 students forms the sample data used in the study. The forecast error, mean

forecast error and mean absolute forecast error are all calculated. Dickey–Fuller’s stationary t-test is performed

for all the regressions analysis values using the Python programming language to determine the mean and if

the data is centred on the mean. We use the stationary t-test to test the null and alternative Dickey–Fuller’s

hypotheses to compare our P-values and critical values for all regressions analyses done. The results show

that the P-values obtained for all the regressions are small and less than the critical value. However, linear

regression is the model with the mean closest to zero, and, according to Dickey–Fuller’s statistics, it is the

model that best fits our data.

Paper ID: 25

Importance of Rooting in an Android Data Acquisition

Mary Rose Boueiz

Arab Open University

Email: mary.rose.boueiz@gmail.com

Abstract— Since Android became the leading handheld devices operating system worldwide, the probability increases of an Android device being subject to usage in a criminal case making Android data acquisition a

necessity in investigations. However, with the increasing security level and complexity of each new model

and operating system released, forensic acquisition is getting more and more difficult. Special tools and

techniques are needed in criminal investigation in order to acquire data from an android device. This paper

explores various tools, technique available in order to perform logical, physical acquisition and conducts a

data acquisition followed by an analysis of the extracted data.

Paper ID: 26

Challenges of Acquiring Mobile Devices While Minimizing the Loss of Usable Forensics Data

Lazaro A. Herrera

Nova Southeastern University

Email: lh1490@mynsu.nova.edu

Abstract— The move from computers to mobile devices has placed forensic professionals in a tough spot

when performing analysis of seized hardware. Forensics specialists must contend with hardware that is

designed to be secure (as it is highly mobile), is capable of receiving commands from a suspect after it has

been seized (which could include commands that are capable of destroying evidence remotely), obsolescence

of certain forensics methods (such as deleted file recovery from block storage) while having to purchase

expensive software and hardware packages to extract any usable data.

6

Paper ID: 27

Classification of Live/Lifeless Assets with Laser Beams in Different Humidity Environments

Nevzat Olgun*, İbrahim Türkoğlu

* Bülent Ecevit University *Email: nevzat.olgun@gmail.com

Abstract—Detecting the vitality of a certain distance person is important in natural disasters, search and rescue

activities, urban warfare environments and in the fight against terrorism. In this study, a system is proposed

that targets located at a certain distance are marked with a low-power laser beam, allowing them to be detected

as live/lifeless. In addition, the performance of the proposed system in different relative humidity

environments is analyzed. In this study, in a laboratory environment with 32%, 60%, 70% and 80% relative

humidity, laser marks are obtained from the arms of 10 volunteer male subjects and 17 different objects, for

each humidity rate. The signals obtained are trained in the developed deep learning network. In the literature,

it is known that the performance of electronic devices at high relative humidity rates has decreased. The

performance of the proposed system in different relative humidity environments is an average of 99.57%. As

a result of experimental studies, it can be seen that the proposed system has a high classification performance

even in the low humidity and very high humidity range. The fact that assets at a certain distance can be

classified as live/lifeless with a high-performance rate, regardless of the humidity rate, demonstrates the

applicability of the proposed system.

Paper ID: 28

A Study on Automatic Speech Recognition Systems

Habib Ibrahim*, Asaf Varol

* Gana University *Email: habiib30@gmail.com

Abstract— Speech recognition is a technique that enables machines to automatically identify the human voice through speech signals. In other words, it helps create a communication link between machines and humans.

Speech recognition uses an acoustic and modeling algorithm to execute its task. It allows interaction between

computer interfaces and a natural human voice. Speech recognition is one of the current topics of discussion

in the twenty-first century. The advent of technological gadgets in modern society has become rampant

through vigorous efforts made by scientists in realizing their aim of developing an algorithm that will allow

machines to interact with human beings. It is obvious that this situation, previously thought of as fiction, has

been achieved. Hence, there are several applications that enhance speech recognition. This paper aims to study

some models of the speech recognition system, its classification of speech, its significance and its application.

7

Paper ID: 29

An Android Case Study on Technical Anti-Forensic Challenges of WhatsApp Application

Mohammad Mirza, Fahad Salamh, Umit Karabiyik*

* Purdue University *Email: umit@purdue.edu

Abstract— Cyberbullying has become a serious concern in this Internet era with the availability of various communication technologies. While no one wishes to be a victim of cyberbullying, some of the electronic

platforms, specifically Instant Messaging Applications (IMAs) such as WhatsApp, have created a safe haven

for cyberbullying. As the use of WhatsApp application is globally increasing, it is extremely important to

consider it being misused as a tool of cybercrime. This paper investigates some of the technical issues with

WhatsApp application that could open the door to cybercrimes and pose anti-forensic challenges. In addition,

we also highlight possible anti-forensic techniques for WhatsApp application through two hypothetical case

scenarios. Moreover, we propose a validated solution to the `delete for everyone' feature of WhatsApp by

presenting a demo mobile application that recovers any deleted messages even after block status.

Paper ID: 30

Testing IoT Security: The Case Study of an IP Camera

Peshraw Ahmed Abdalla*; Cihan Varol

* University of Halabja *Email: peshraw.abdalla1991@gmail.com

Abstract— While the Internet of Things (IoT) applications and devices expanded rapidly, security and privacy of the IoT devices emerged as a major problem. Current studies reveal that there are significant weaknesses

detected in several types of IoT devices moreover in several situations there are no security mechanisms to

protect these devices. The IoT devices' users utilize the internet for the purpose of control and connect their

machines. IoT application utilization has risen exponentially over time and our sensitive data is captured by

IoT devices continuously, unknowingly or knowingly. The motivation behind this paper was the

vulnerabilities that exist at the IP cameras. In this study, we undertake a more extensive investigation of IP

cameras' vulnerabilities and demonstrate their effect on users' security and privacy through the use of the Kali

Linux penetration testing platform and its tools. For this purpose, the paper performs a hands-on test on an IP

camera with the name (“Intelligent Onvif YY HD”) to analyze the security elements of this device. The results

of this paper show that IP cameras have several security lacks and weaknesses which these flaws have multiple

security impacts on users.

Paper ID: 31

QIM-Based Semi-Fragile Watermarking for H.264 Video Authentication

Anna Egorova*, Victor Fedoseev

* Samara University *Email: varlamova.anna.95@mail.ru

Abstract— The paper presents a semi-fragile watermarking system designed for H.264 video authentication. The proposed system embeds a semi-fragile watermark into integer DCT coefficients of each keyframe of a

video at the H.264 quantization step. The system localizes modified video regions of size 4×4 with high

accuracy. The experimental part demonstrates the influence of the embedding process on the visual quality of

the protected video and the watermark extraction error for different H.264 quality parameter values.

8

Paper ID: 32

Decision-Tree-Based Interpolation for Multidimensional Signal Compression

Mikhail Gashnikov

Samara National Research University

Email: mih-fastt@yandex.ru

Abstract— We investigate a decision-tree-based interpolator as part of multidimensional signal compression methods. This interpolator selects the interpolating function at each signal point through a decision tree. We

propose a learning algorithm for this decision tree. This algorithm is based on a recursive procedure for

calculating the entropy of quantized interpolation errors. We adapt the decision-tree-based interpolator for the

hierarchical compression method. We propose a multidimensional local feature and a set of interpolating

functions for this compression method. We research the decision-tree-based interpolator for compression of

natural multi-dimensional signals. The experimental results prove that this interpolator can significantly (up

to 30%) increase the efficiency of the hierarchical compression method.

Paper ID: 33

Multi-Key Homomorphic Encryption Create new Multiple Logic Gates and Arithmetic Circuit

Kok Seen Chong, Chern Nam Yap*, Zheng Hong Tew

* Temasek Polytechnic

*Email: cnyap@tp.edu.sg

Abstract— This is a feasibility study on homomorphic encryption using the MK-TFHE library in daily

computing using cloud services. Logic gates OR, AND, XOR, XNOR, NOR were created. A basic set of

arithmetic operations namely -addition, subtraction, multiplication and division were also created. This

research is a continuation of previous work and this peeks into the newly created logic gates on these arithmetic

operations.

Paper ID: 37

Remote Sensing Image Inpainting with Generative Adversarial Networks

Mikhail Gashnikov*, Andrey Kuznetsov

* Samara National Research University *Email: mih-fastt@yandex.ru

Abstract— we investigate generative adversarial neural networks (GAN) for remote sensing image inpainting.

We are considering a generative neural network with a contour predictor. We use this neural network to

inpainting of the natural remote sensing images obtained by ”Canopus”, ”Meteor”, ”AIST”, “Resurs” aircrafts,

as well as Google Earth images. As a basis for comparison, we use an exemplar-based algorithm. We

experimentally prove the effectiveness of the generative neural network with the contour predictor for remote

sensing image inpainting, in particular for generation forgery Earth remote sensing data.

9

Paper ID: 38

MiNo: The Chrome Web Browser Add-on Application to Block the Hidden Cryptocurrency Mining

Activities

Safa Aktepe*, Cihan Varol, Narasimha Shashidhar

* Sam Houston State University *Email: sba007@shsu.edu

Abstract— Cryptocurrencies are the digital currencies designed to replace the regular cash money while taking

place in our daily lives especially for the last couple of years. Mining cryptocurrencies are one of the popular

ways to have them and make a profit due to unstable values in the market. This attracts attackers to utilize

malware on internet users’ computer resources, also known as cryptojacking, to mine cryptocurrencies.

Cryptojacking started to be a major issue in the internet world. In this case, we developed MiNo, a web browser

add-on application to detect these malicious mining activities running without the user’s permission or

knowledge. This add-on provides security and efficiency for the computer resources of the internet users.

MiNo designed and developed with double-layer protection which makes it ahead of its competitors in the

market.

Paper ID: 39

Graphically Display Database Transactions to Enhance Database Forensics

Christine Orosco*, Cihan Varol, Narasimha Shashidhar

*Sam Houston State University

*Email: cjo010@shsu.edu

Abstract— Database forensics presents a set of unique challenges and these may contribute to the reason for

the lack of available tools and methods for database forensics. Yet considering the pervasiveness of databases

in society, the amount of sensitive data stored within these repositories, and the number of data breaches, it is

perplexing why there are not more database forensic software applications. This paper contains a discussion

of a design for the graphical display of database transactions from a MySQL database. Using tools such as

Elasticsearch and Kibana to aggregate the log files and pre-process the data into an intelligent format facilitates

the expedient analysis of volumes of database transactions. The capability to search through terabytes of data

within mere seconds and visually display this data is invaluable and considered as the vital contribution of this

work.

Paper ID: 41

Introducing The ‘Unified Side Channel Attack Model’ (USCA-M)

Andrew Johnson*, Richard Ward

* University of South Wales *Email: andrew.johnson@southwales.ac.uk

Abstract— This paper presents a ‘Unified Side Channel Attack Model’ (USCA-M). The USCA-M model is

compiled by the research undertaken of side-channel attacks (SCAs) from published journal articles and

conference papers between 2015-2019. The research found that SCAs can be categorised into three main areas:

SCA types, SCA methods and SCA techniques. By using this categorisation as a foundation, the USCA-M

was compiled. USCA-M has three main contributions to the research field:

1. A unified model that can categorize present and future SCA vulnerabilities and exploit techniques found;

2. A reference point for organisations to be able to identify and place a found SCA within a common or

unified categorisation;

3. The decomposition of SCA methods and techniques into identifiable components to assist in the defence

of SCAs, such as code pattern recognition.

10

Paper ID: 42

On the Cyber Security of Lebanon: A Large Scale Empirical Study of Critical Vulnerabilities

Yasser Fadlallah*, Mohamad Sbeiti, Mohamad Hammoud, Mohamad Nehme, Ahmad Fadlallah

* University of Sciences and Arts in Lebanon *Email: y.fadlallah@usal.edu.lb

Abstract— In this paper, we uncover 1645 critical vulnerabilities in the perimeter of Lebanon affecting the

majority of its sectors, including critical infrastructure. Given the enormous economic and personal damage

imposed by critical vulnerabilities, we use a novel framework to regularly identify these vulnerabilities in time

on a large scale. We show that the root cause of the uncovered vulnerabilities is the lack of a core security best

practice, namely, patch management. All the 1645 vulnerable systems had a patch offered by the vendor at

the time they were found vulnerable. In addition to that, the poor reaction to our notification efforts to the

owners of vulnerable systems underlines another lack of a proper incident handling process.

To this end, this research shall be considered as a first step towards continuous attack surface evaluation of

Lebanon, which shall involve different parties from public and private sectors in order to better perform risk

analysis and mitigation.

Paper ID: 43

Predicting Crime Scene Location Details for First Responders

Sundar Krishnan*, Bing Zhou

*Sam Houston State University

*Email: skrishnan@shsu.edu

Abstract— Responding to an emergency or crime can be challenging especially when one does not fully know the location details. Often first responders arrive a crime scene with little information and then make

their way around. During an emergency, when seconds count and first responder units need to locate

individuals requiring immediate assistance, they simply don’t have the time to figure out the location details

at the facility or residence. In this experiment, the author’s leverage statistical predictive modeling and

machine learning techniques to analyze a public dataset to predict premise/location details for first

responders with reasonable accuracy.

Paper ID: 44

Filtering Turkish Spam using LSTM from Deep Learning Techniques

Ersin Eryılmaz*, Durmuş Şahin, Erdal Kılıç

* Ondokuz Mayıs University *Email: enes.eryilmaz@bil.omu.edu.tr

Abstract— E-mails are used effectively by people or communities who want to do propaganda, advertisement,

and phishing because of their ease of use and low cost. People or communities who want to achieve their goals

send unnecessary and spam to the e-mail accounts they never knew. These mails cause serious financial and

moral damages to internet users and also engage in internet traffic. Unsolicited e-mails (spam) are a method

sent to the recipient without their consent and generally for malicious or promotional purposes. In this study,

spam was detected with Keras deep learning library on the Turkish dataset. TurkishEmail dataset contains 800

e-mails, half of which are spam e-mails. With the deep learning algorithm long short term memory (LSTM),

a 100% accuracy rate has been achieved in the Turkish e-mail dataset.

11

Paper ID: 46

Analysis of iOS SQLite Schema Evolution for Updating Forensic Data Extraction Tools

Samiha Shimmi, Gokila Dorai, Umit Karabiyik*, Sudhir Aggarwal

* Purdue University *Email: umit@purdue.edu

Abstract— Files in the backup of iOS devices can be a potential source of evidentiary data. Particularly, the iOS backup (obtained through a logical acquisition technique) is widely used by many forensic tools to sift

through the data. A significant challenge faced by several forensic tool developers is the changes in the data

organization of the iOS backup. This is due to the fact that the iOS operating system is frequently updated by

Apple Inc. Many iOS application developers release periodical updates to iOS mobile applications. Both these

reasons can cause significant changes in the way user data gets stored in the iOS backup files. Moreover,

approximately once every couple years, there could be a major iOS release which can cause the reorganization

of files and folders in the iOS backup. Directories in the iOS backup contain SQLite databases, plist files,

XML files, text files, and media files. Android/iOS devices generally use SQLite databases since it is a

lightweight database. Our focus in this paper is to analyze the SQLite schema evolution specific to iOS and

assist forensic tool developers in keeping their tools compatible with the latest iOS version. Our

recommendations for updating the forensic data extraction tools is based on the observation of schema changes

found in successive iOS versions.

Paper ID: 47

Cybersecurity Evaluation with PowerShell

Steven Zavala*, Narasimha Shashidhar, Cihan Varol

* Sam Houston State University

*Email: karpoor@shsu.edu

Abstract— An organization’s cybersecurity posture is trending as one of the most highly regarded areas of

focus. As more companies fall victim to breaches and exploits, we find more cases where corporations are

falling victim to this and we find they attribute to improper defined security practices, failure to have a policy

to address breaches or even comply with their existing strategies. It comes as no surprise that the effects of

breaches and the eventual compromise of data continues to impact every level from large corporations down

to the individuals. Therefore, it is imperative to provide individuals with a comparative method to retrieve a

common baseline of their cybersecurity posture versus an acceptable established standard. Existing audit

measures are quite cumbersome and introduce room for errors. Using PowerShell provides a method to

automate parsing information into a company’s existing policy and expose any cybersecurity vulnerabilities.

PowerShell audit process used here will provide an organization with the method to self-check without having

to incorporate the use of software from third-party tools. Because of PowerShell’s flexibility of parsing

information using from the OS environment. CSET as designed by the collaborative efforts from Department

Homeland Security (DHS) and the National Cybersecurity and Communications Integration Center (NCCIC)

provides a very thorough method of producing an evaluation of the organization’s Cybersecurity posture.

Their tool achieves this through various means which may require an auditor participant to produce the

necessary information by manually extracting values, such as whether software firewall rules are enabled or

not. Our research focuses on executing query commands and automating much of the manual process of

gathering data to eliminate the human component by combining PowerShell functions which can give the

auditor another method to tailor their audit experience to what is relevant in their area of concern.

12

Paper ID: 48

Using ITIL 4 in Security Management

Derrick Berger*, Narasimha Shashidhar, Cihan Varol

* Sam Houston State University *Email: karpoor@shsu.edu

Abstract— Organizations of any size are tasked with managing security and risks of varying degrees of impact

and complexity. Managing security can be one of the most intricate yet pervasive aspects of Information

Technology Management. The service management philosophy that many organizations use is Information

Technology Service Management (ITSM). Within ITSM, Information Technology Infrastructure Library

(ITIL) is a set of best practices that can be used to manage security. The unique aspect of security incidents

can be their sensitive nature. This sensitivity can complicate the management of security but does not preclude

it from being managed in a way that is appropriate and effective for the organization. Due to the novelty of

ITIL 4, there is a lack of research for effectively managing security incidents within an ITIL 4 framework.

ITIL 4 represents a change in some of the core components of ITIL. This paper will examine how ITIL 4 can

provide a framework for managing security.

Paper ID: 49

On-Premises Versus SECaaS Security Models

Luis Pla*, Narasimha Shashidhar, Cihan Varol

* Sam Houston State University

*Email: lfp003@shsu.edu

Abstract— The overarching aim of our research project was to determine whether replacing the traditional

on-premises IT security model with SECaaS is a sensible decision in the context of small to medium-sized

organizations. To accomplish this goal, a comparative analysis of the two cybersecurity models was conducted

whereby relevant evidence was extracted from existing information. Findings revealed that the IT security

management function is too sensitive to be left in the hands of a third-party cloud services provider. Rather,

the function ought to be managed internally to minimize the potential attack vector as much as possible.

However, despite our primary finding, we note that when cloud-based apps, operations, and data are involved,

the SECaaS model is considered to be the most suitable IT security management approach. In particular,

SECaaS outperforms the premise-based security model in the following core dimensions: cost-savings, ease

of management, scalability and agility, expertise, constant updates, and cost-effective compliance. In our

current research, we document the differences between the on-premises IT security and SECaaS models, and

justify the case for SECaaS as the most suitable approach primarily focusing on the suite of cloud-based

cybersecurity tools packaged with Microsoft 365 Business.

13

Paper ID: 50

In-Depth Analysis of Speech Production, Auditory System, Emotion Theories and Emotion

Recognition

Yeşim Ülgen Sönmez*, Asaf Varol

* Firat University *Email: yesimulgen123@gmail.com

Abstract— Artificial intelligence and machine learning are used to make machines more intelligent. SER

emotion recognition from speech signals is a difficult problem for machine learning which artificial

intelligence method is. The speech signal is difficult to analyze because it contains different frequencies and

features. Speech is digitized by signal processing methods and sound characteristics are obtained by acoustic

analysis. These features vary by emotions such as sadness, fear, anger, happiness, boredom and surprise.

Analysis methods emerged by modeling the features of speech production system and human hearing system.

In this study, speech production system, hearing system, emotion production system, emotion definition and

theories, emotion recognition models are examined.

Paper ID: 51

An efficient IP Core of Consultative Committee for Space Data Systems (CCSDS) Recommended

Authenticated Cryptographic Algorithm

Deepa Muraleedharan*, Sanil K. Daniel

College of Engineering, Trivandrum

Email: deepam81@gmail.com

Abstract— Data mining is an important method that we use for extracting meaningful information from data. Data preprocessing lays the groundwork for data mining yet most researchers unfortunately, ignore it. Before

getting to the data mining stage, the target data set must be properly prepared. This paper describes steps

followed for time series data preprocessing for data mining processes. The data that was used in the study is

that of the minimum daily temperatures over 10 years (1981-1990) in the city of Melbourne, Australia. Python

programming language is used to read the data and decompose it into trend, seasonality, and residue

components. These components were plot and analyzed by removing the trend and seasonality to make the

series stationary. Dicky Fuller’s stationary test was done on the data. The test statistics results show that Dicky

Fuller’s null hypothesis can be rejected and the data is stationary. Hence, ready for the next step of data mining

modeling processes.

Paper ID: 52

Time Series Database Preprocessing for Data Mining Using Python

Hussein Farooq Tayeb Alsaadawi, Murat Karabatak, Cihan Varol*

*Sam Houston State University

*Email: cxv007@shsu.edu

Abstract— Data mining is an important method that we use for extracting meaningful information from data.

Data preprocessing lays the groundwork for data mining yet most researchers unfortunately, ignore it. Before

getting to the data mining stage, the target data set must be properly prepared. This paper describes steps

followed for time series data preprocessing for data mining processes. The data that was used in the study is

that of the minimum daily temperatures over 10 years (1981-1990) in the city of Melbourne, Australia. Python

programming language is used to read the data and decompose it into trend, seasonality, and residue

components. These components were plot and analyzed by removing the trend and seasonality to make the

series stationary. Dicky Fuller’s stationary test was done on the data. The test statistics results show that Dicky

Fuller’s null hypothesis can be rejected and the data is stationary. Hence, ready for the next step of data mining

modeling processes.

14

Paper ID: 54

GPS-based Mobile Cross-platform Cargo Tracking System with Web-based Application

Abdalbasit Mohammed Qadir, Peter Cooper*

*Sam Houston University

*Email: CSC_PAC@shsu.edu

Abstract— Cross-platform development is becoming widely used by developers, and writing for separate

platforms is being replaced by developing a single code base that will work across multiple platforms

simultaneously, while reducing cost and time. The purpose of this paper is to demonstrate cross-platform

development by creating a cargo tracking system that will work on multiple platforms with web application

by tracking cargo using Global Positioning System (GPS), since the transport business has played a vital role

in the evolution of human civilization. In this system, Google Flutter technology is used to create a mobile

application that works on both Android and iOS platforms at the same time, by providing maps to clients

showing their cargo location using Google Map API, as well as providing a web-based application.

Paper ID: 55

Method for Image Copyright Protection Based on Consruction of Highly Robust Watermarks

Yuliya Vybornova

Samara National Research University

Email: vybornovamail@gmail.com

Abstract— In this paper, a new approach to multimedia data watermarking is proposed. The key idea of the

method is to embed a specially constructed protective information instead of a simple bitmap or a bit sequence.

A two-dimensional complex spectrum is constructed on the basis of the binary sequence, which serves as a

primary watermark used when verification. Via discrete Fourier transform a highly robust watermark in the

form of a noise-like raster image is calculated and embedded into the carrier data. The aim of the experimental

research is to analyze the applicability of the method in the task of copyright protection for raster images. It is

shown that the proposed noise-like watermarks can be imperceptibly embedded into the spatial domain of the

protected image using the strategy of additive watermarking. Furthermore, the study on robustness has shown

that resulting method demonstrates clear advantages over existing analogues.

Paper ID: 58

Classifying Software Vulnerabilities by Using the Bugs Framework

Thamali Madhushani Adhikari, Yan Wu*

*Bowling Green State University

*Email: yanwu@bgsu.edu

Abstract— Software vulnerabilities, specific type of soft- ware bugs, are defined as occurrences of a software

weak- ness, which can be exploited by an agent to cause various consequences such as modifying or accessing

unintended data. Identifying and fixing software vulnerabilities thus plays an important role in software

security and software engineering. A reliable body of knowledge on categories of vulnerabilities is critical to

identify software vulnera- bilities. In this paper, we use data-mining techniques to identify software

vulnerabilities, classify them into different categories by using the Bugs Framework proposed by the National

Institute of Standards and Technology (NIST), and design a model to predict the weakness of future

vulnerabilities. Knowledge about vulnerability types helps software engineers save time and energy, develop

programs by avoiding security vulnerabilities, and program with precaution.

15

Paper ID: 59

A Study on Cyber Security Challenges in E-learning Management System

Habib Ibrahim*, Songül Karabatak, Abdullahi Abba Abdullahi

* Gana University *Email: habiib30@gmail.com

Abstract— Education is gradually moving from traditional classroom-based setting to online-based. E-

learning has become the topic of discussion as far as cybersecurity is concerned. E-learning as a mode of

acquiring knowledge and skills through electronic means, cannot be achieved without internet technology. In

other words, it depends largely on the internet technology for the sharing of ideas and information. However,

the network environment is a home for hackers and the internet fraudless. As the reach of the internet expands

to cover ever broader aspects of our education and social welfare, cybersecurity is the major concern when

dealing with privacy, authentication, and confidentiality of user’s information stored in a database server.

Most often hackers release attacks designed to steal confidential data and an organization’s database servers

are the targets of these attacks because they are the core of any organization, storage bank. Hence, it is very

important to put strong security measures in place to protect the data and information of the end-user against

any malicious attack. This paper, therefore, aimed to discuss cybersecurity issues related to the e-learning

management system, the significance of the E-Learning and Database management system. Again the paper

discusses top security issues in databases and how to lessen them.

Paper ID: 60

A Concetual Framework for Database Anti-forensics Impact Mitigation

Bashir Zak Adamu*, Murat Karabatak, Fatih Ertam

*Fırat University

*Email: 191144114@firat.edu.tr

Abstract— The emergence of databases has become one of the most important achievements in the field of software. Databases are at the core of information systems (Online and Offline), and this has fundamentally

made them a target for malicious intents because they contain sensitive information. Digital forensics tends to

outwit such malicious activities by providing provable evidence for prosecution. On the other hand, criminals

develop and promote counter forensic measures to reduce the quality and quantity of forensic data known as

“Anti-forensics”. Such counter measures tend to jeopardize forensics efforts at all stages to ensure that court

admissible evidences are not acquired. The aim of this paper is to explore database anti-forensics agents,

highlight the challenges and or negative effects they pose at various stages of the database forensics processes,

present a taxonomy for database anti-forensics impacts, provide recommendations on how these impacts can

be mitigated, and directions for future research opportunities.

Paper ID: 61

District Ransomware: Static and Dynamic Analysis

Neil Andes*, Mingkui Wei

* Sam Houston State University *Email: nsa006@shsu.edu

Abstract— Ransomware is one of the fastest growing threats to internet security. New Ransomware attacks happen around the globe, on a weekly basis. These attacks happen to individual users and groups, from almost

any type of business. Many of these attacks involve Ransomware as a service, where one attacker creates a

template Malware, which can be purchased and modified by other attackers to perform specific actions. The

District Ransomware was a less well-known strain. This work focuses on statically and dynamically analyzing

the District Ransomware and presenting the results.

16

Paper ID: 62

Students' Usage of Smartphones in the Classes

Songül Karabatak, Müslim Alanoğlu*

* Tuskish Embassy in Podgorica *Email: muslimalanoglu@gmail.com

Abstract— The current study aims to investigate students' usage of smartphones in the classes. To achieve this aim, the survey model was used in the study. The study group was selected among the undergraduate

students at a state university. The study group determined by the snowball sampling method consists of 577

students in total. At the end of the study, it was concluded that most of the students use their phones

occasionally and to message, research on course subject, and connect to social networks. Causing distraction

and the ban on use in the class also emerged as the reasons for not using their smartphones in the classes. The

most important reason for the students to use smartphones in the classes is to research about the course subject

and using them in emergencies. Also, students gave close answers to each other about the effects of using

smartphone on academic performance. In the last part of the study, some suggestions were developed

regarding the results obtained.

Paper ID: 63

Z Generation Students and Their Digital Footprint

Songül Karabatak*, Murat Karabatak

*Fırat University

*Email: s_halici@hotmail.com

Abstract— The purpose of this study is to evaluate the literature studies investigating the digital footprints of Z generation students. For this purpose, studies in various databases related to the digital footprints of children,

adolescents, and university students were evaluated in terms of analysis units of the method, publication type,

sample, data collection tool, and results. However, it was seen that there are not many publications on this

subject in the literature. It was seen that most of the studies examined were articles and the quantitative

research methods were mostly used in the studies, therefore, scales were preferred mostly. Also, it was

observed that the ones who have the highest awareness about digital footprints are young people while the

lowest are children. At the end of the study, various suggestions were made to increase the awareness of the

Z generation students in digital footprints.

17

Paper ID: 65

Remote Monitoring Real Time Air pollution - IoT (cloud based)

Murat Karabatak, Twana Mustafa, Chawan Taha Hama Ali*

* University of Sulaimany

*Email: chawachicha@gmail.com

Abstract— Air pollution, contamination, and Leakage of Liquefied Petroleum Gas (LPG) produce perilous and dangerous effects on human starts and other living. Subsequently, the author built up a framework to

monitor by cloud and associated with it, the LPG gas leakage and send an alarm to clients of it. Temperature

and Moistness sensor and MQ-6 gas sensors are utilized for detecting the degree of gas concentration

awareness of a closed volume and to monitor the outcomes of ecological changes an IoT platform has been

presented. This paper describes the structure of a usable model dependent on the Internet of Things (IoT) ideas

for continuous monitoring of different environmental conditions utilizing certain normally accessible and

lower-priced sensors and associated with the cloud. The things utilized in this paper were (HDT11, MQ6,

ESP8266, ATMega328p, Internet, and RemoteXY cloud server). The different ecological conditions, for

example, temperature, dampness, and Liquefied Petrleum Gas (LPG) are ceaselessly monitored for air

pollution, prepared and controlled by using an ATmega328p microcontroller with the assistance of a few

sensors. Strong control alongside cloud-based manual control has been applied to a control system utilizing

the RemoteXY cloud server. Caught data are communicated through the internet with an ESP8266 Wi-Fi

module. The anticipated framework conveys sensor data to an API referred to as RemoteXY over an HTTP

protocol.

Paper ID: 66

To Review and Compare Evolutionary Algorithms in Optimization of Distributed Database Query

Mohammed Abdalla*, Murat Karabatak

* University of Raparin

*Email: muhamad_it@uor.edu.krd

Abstract— Processing queries in distributed databases require the conversion and transmission of data from local and global sites. A query can be used to create a different executive plan of the query, which These plans

are equal in size, meaning that they achieve the same result, but differ in the order in which the operators are

executed and how they are executed, and therefore in their performance. The problem of query optimization

in the distributed database is NP-hard in nature and difficult to solve. Exploring all the query plans in large

search space is not feasible. The purpose and motivation of this article are to examine the query challenges in

the distributed databases and algorithms for the executive plan of the query.

18

Paper ID: 68

Database Security Threats and Challenges

Abdulazeez Sulaiman*, Murat Karabatak, Twana Mustafa

*Fırat University

*Email: abdulazizmoosa93@gmail.com

Abstract— With the growth and increasing sophistication of the Internet and the increasing dependence, it appeared more and more services over the Internet-based database, so it increases the risks facing databases.

The number of attacks against these repositories has also increased. A database danger refers to an item,

individual or other entity that poses a risk of misuse or manipulation of confidential data to an asset. Databases

and computer properties are improperly secured in many business organizations. Databases should be

protected rather than any system (device) in the enterprise. Most database security features have to be

developed to secure the database environment. The aim of the paper is to underline the types of threats and

challenges and their impact on sensitive data and to present different safety models. The assumption

underpinning this study is that it understands the weaknesses, threats and challenges faced by databases,

Database administrators will then work on developing a security strategy to help secure their databases.

Paper ID: 70

Effect of Mean Filter on Face Image from Video Frames

Pawan Othman, Ridwan Marqas*; Diler Abulqader, Saman Almofty

* Duhok Private Technical Institute

*Email: pgmr.red@gmail.com

Abstract— One of the most important studies is the identification of face from videos in case of low resolution. This article looks at the effect of a mean filter on facial pictures. The mean filter measures the number of

pixels in successive images using the intensities of neighbouring pixels and temporal neighbouring pixels. The

pixels of the original high-resolution image were used as reference values to measure the effect of the

suggested technique on the picture peak signal noise ratio (PSNR) and mean square error (MSE) levels by

calculating the noise and error Figure of the pixels of the filtered low-resolution pictures. Outcomes indicate

major impact on successive face video record frames from the suggested filter.

Paper ID: 73

Review of the Internet of Things for Healthcare Monitoring

Asaf Varol, Twana Mustafa*

*Fırat University

*Email: twanacsd@gmail.com

Abstract— These days, individuals are increasingly bound by indoor living and invest less energy outside. Along these lines, the importance of monitoring air quality inside to make indoor living progressively

appropriate and sound has immensely risen, The advancement of the Internet of Things will significantly

encourage the procedure of the patient's analysis and monitoring, with little IP-based wireless sensors executed

on the patient's body, his physiological parameters, for example, blood strain and coronary heart rate, can be

observed remotely and always, Over the past few years, IoT has gotten one of the most significant

advancements of the 21st century, The Internet of Things (IoT) describes the network of physical items

“things” that are embedded with sensors, software, and other technologies for the purpose of connecting and

exchanging data with other devices and systems over the internet. These devices range from ordinary

household objects to sophisticated industrial tools. With more than 7 billion connected IoT devices today,

experts are expecting this number to grow to 10 billion by 2020 and 22 billion by 2025. In this paper, attempts

to review and understand the utilization of IoT in customized healthcare to acquire fantastic healthcare at low-

cost expenses. We have clarified in short how IoT capacities and how it is utilized related to wireless and

sensing systems to execute the ideal healthcare applications.

19

Paper ID: 78

Exploiting Vulnerabilities of MRI Scanner Machine: Lebanon Case Study

Reem Nabha*, Hassan Sbeyti

* Arab Open University *Email: reemnabha.rn@gmail.com

Abstract— Internet of Things (IoT) in the modern healthcare environment is continuously growing to offer a seamless platform to monitor patients in hospitals making our lives easier. Medical Imaging Devices (MIDs),

such as Magnetic Resonance Imaging (MRI) systems are commonly connected to hospital networks becoming

increasingly vulnerable to cyberattacks such as Ransomware. This paper attempts to discuss vulnerabilities in

the MRI scanner that ransomware can exploit to propagate through a system.

Paper ID: 79

Signature Recognition Using Machine Learning

Shalaw Mshir, Mehmet Kaya*

* Syracuse University

*Email: mkaya@syr.edu

Abstract— Signatures are popularly used as a method of personal identification and confirmation. Many

certificates such as bank checks and legal activities need signature verification. Verifying the signature of a

large number of documents is a very difficult and time-consuming task. As a result, explosive growth has been

observed in biometric personal verification and authentication systems that relate to unique quantifiable

physical properties (fingerprints, hand, and face, ear, iris, or DNA scan) or behavioral characteristics (gait,

sound, etc.). Several methods are used to describe the ability of the suggested system in specifying the genuine

signatures from the forgeries. This approach presents a new technique for signature verification and

recognition, using a tow dataset for training the model by a siamese network.

Paper ID: 80

Mirai Botnet In Lebanon

Hasan Idriss

*Arab Open University

*Email: hasan.idriss@hotmail.com

Abstract— The growth of the Internet of things (IoT) in the market of smart home and surveillance security raises the flag of new security risks, after the presence of new malware targeting IoT devices for creating a

botnet. Mirai is one of the famous malware that used IoT bots to perform the most massive DDoS attack in

botnet history. This paper will discuss the Mirai malware's leading events and provide a brief of the famous

variants created based on the Mirai source code. Finally, propose a detection and mitigation method to protect

the system, taking into consideration the Lebanese industry and offering a methodology to make it Mirai

Botnet resilient.

20

Paper ID: 81

Overview of Efficient Symmetric Cryptography: Dynamic vs Static Approaches

Hassan Noura*, Ali Chehab, Raphaël Couturier

*Arab Open University Lebanon

*Email: hnoura@aou.edu.lb

Abstract— Cryptography is the central component of a large number of security solutions. However, most of the existing algorithms do not take into consideration the structure of data, its size, the real-time constraints

(latency), and the resource constraints (energy, memory, and CPU). Recently, to address these challenges,

different solutions were proposed by optimizing the existing ones or by designing new lightweight algorithms.

Employing a static structure requires the iteration of a round function for a large number of rounds r, which

consequently leads to an increase in the latency and required resources. Therefore, in this paper, we

recommend the design of new algorithms with a "dynamic structure" for symmetric key encryption towards

reducing r, which in turn reduces the required latency and resources. Equally important, the substitution and

diffusion primitives should become dynamic and related to a secret key. Furthermore, we present the

advantages and limitations of the static and dynamic symmetric cipher approaches. The objective of this paper

is to provide guidelines for the design of future (dynamic) cryptographic algorithms and highlight future

research challenges, issues, and directions.

Paper ID: 82

Big Data Architecture: Designing the Right Solution for Social Network Analysis

Innocent Agbo*, Alexander Kupriyanov, Igor Rytsarev

*Samara National Research University

*Email: ochesaint27@gmail.com

Abstract— This paper highlights the link between social networks and Big Data, which is generated by its users and how the generated data is used by businesses to improve their products and services as well as to

increase their profits. It goes on to give a concise overview of Big Data architecture, the various components

involved, challenges faced when developing solutions, the process of retrieving, storing and processing

datasets as well as recommendations to follow when designing architectures geared towards social network

analysis.

Paper ID: 83

Overview of Digital Forensics and Anti-Forensics Techniques

Hussein Majed, Hassan Noura*, Ali Chehab

* Arab Open University Lebanon

*Email: hnoura@aou.edu.lb

Abstract— Digital forensics is very essential in any investigation where data is involved after a security breach. Data contents might be personal, business-related, or strictly confidential. The aim of digital forensics

is to legally acquire and analyze the examined data, while anti-forensics techniques aim to hide, manipulate,

and even wipe the data, or to target the credibility of the acquired evidence. This paper presents the current

anti-forensics techniques, the methods applied, and the available countermeasures.

21

Paper ID: 84

Intelligence in Digital Forensics Process

Iliyasu Yahaya Adam*, Cihan Varol

*Firat University

*Email: babanbakir@gmail.com

Abstract— Digital forensics is the digital equivalence of traditional crime investigations that leverages digital

technologies to facilitate criminal investigations. The expertise and previous experience of an investigator or

any security agent in traditional forensic investigations play an important role in the success, efficiency, and

effectiveness of the investigation. Similarly employing the power of intelligence in the current computational

resources in the digital investigation process will lead to more efficient and effective digital investigation

results. This study builds on existing works in the literature to propose the use of clustering and classification

machine learning algorithms on evolving database files to achieve intelligence in the digital investigation

process and finally come up with a comprehensive block diagram as a general-purpose framework for

intelligent forensic investigation.

Paper ID: 88

Critical Analysis of Cryptographic Algorithms

Mazoon AlRoubiei, Thuraiya AlYarubi, Basant Kumar*

* Modern College of Business and Science *Email: basant@mcbs.edu.om

Abstract— Security is the most important role in data communication due to the increase of the intruder’s possibility of alteration and eavesdropping to the sensitive data. Hence, cryptography is the fundamental tool

used to protect these data. The purpose of using cryptography is to achieve privacy via preventing disclosure

of the communication where the data is converted from a readable form into an unreadable form and vice

versa. The cryptography algorithm has two types namely: Symmetric key and Asymmetric key. Asymmetric

key algorithm mainly invented to overcome the dilemma of key distribution in symmetric key. There are

several algorithms classified under these two types based on different parameters. Hence, this variation leads

to different levels of performance and efficiency of these algorithms. This paper presents a critical analysis of

these systems based on a detailed study and literature review of some cryptography algorithms.

Paper ID: 92

Effects of Homework Supported Distance Education on Academic Satisfaction, Academic

Achievement, and Attitude towards Distance Education

Songül Karabatak, Müslim Alanoğlu*, Murat Karabatak

*Tuskish Embassy in Podgorica

*Email: muslimalanoglu@gmail.com

Abstract— The purpose of this study is to reveal the effects of homework supported distance education on students' academic achievement, academic satisfaction, and attitudes towards distance education. This study

was performed with a quantitative paradigm. In this context, repeated measures design was used. The

purposeful sampling method was used to determine the participants. One-way analysis of variance (ANOVA)

for repeated measures was used to compare academic achievement tests and scale scores. As a result of the

study, the distance education process applied significantly increased students' academic achievement but

supporting the distance education process with homework increased academic achievement more. The

distance education process did not change the students' attitudes towards distance education and their academic

satisfaction, but homework-supported distance education process changed positively. This finding revealed

that distance education alone is not enough and it should be supported with different techniques and methods

to increase its effectiveness.

22

SPONSORS

Elazig – TURKEY

www.softcybersec.org softcybersec@gmail.com