international journal of exploring emerging trends in ... journal of exploring emerging trends in...

International Journal of Exploring Emerging Trends in Engineering (IJEETE)

Vol. 04, Issue 04, JUL-AUG, 2017 Pg. 170 – 181 WWW.IJEETE.COM

ISSN – 2394-0573 All Rights Reserved © 2017 IJEETE 70

Home Control System Secured with own Cloud

Ms. Kajal Borole Mr. Manoj Patil M.E(Computer Science Engineering) (Department of Computer Engineering) ([email protected]) ([email protected])

Abstract

The concept of smart home is widely favored, as it enhances the lifestyle of the residents involving multiple disciplines i.e.,lighting,security,and much more. As the smart home networks continue to grow in size and complexity, it is essential to address a handful among the myriads of challenges related to data loss due to the interference and efficient energy management. In this paper, we propose a how we can use the energy aware smart home control system concept in a more easy way.How we can control the smart home control system with help of ownCloud application. The results from energy aware smart home control system can then be further used to study how this system can be used by individual itself for controlling the system if the smart home control system fails, using ownCloud application. Also, how Clouds can be used instead of computer simulation can also be studied and this concept can be developed. We will first look out how the authors have developed energy aware smart home control system and then we will see how we can use their results for further development of a software which can be used to control the home system if the smart home control system fails.

Keywords:

IoT, ZigBee technology,ownCloud,CloudSIM

I. Introduction

The emergence of smart devices has boosted the concept of connecting everyday objects via the existing networks. The drastic increase of connected devices has outreached the boundaries of the conventional networks,resulting the renaissance of the web as the third Wave InternetofThings(IoT) . IoT is rapidly growing

network of heterogeneous devices and objects, which are uniquely addressable within the network and capable of identifying and sharing information with or without human interaction. The dramatic increase of energy consumption accelerates the demand, resulting a relative increase in the monetary value of energy. Thus, creating a crucial demand to implement smart home applications focusing on consuming energies efficiently in residential buildings. Unintentionally, it influences positively on the energy consumption habits of the residents, meanwhile creating an energy saving, demand reducing and low carbon emission phenomenon [1]. Synthesizing new connections with home automation bring about more realistic and energy efficient smart home concepts. The home automation is widely used for central controlling of lighting, heating, ventilation and air conditioning appliances (HVAC) and security locks. Regardless of the purpose, smart home applications extensively rely on WSN. Among multiple technologies, WIFI seems to be advantageous due to its higher bandwidth, large coverage, easy expansion, etc. [2]. However, its power consumption is higher compared to Bluetooth and ZigBee, which are widely accepted as the ideal communication protocols for resource constrained sensor devices. Section 1.1 describes the motivation for the development of smart home control system using IoT, and alternatively to control this system with help of own cloud storage.

A. Motivations

Implementing an efficient smart home control

system under heterogeneous WSN is a

challenging task. One of the major challenges in

this regard is the standardization of IoT. Thus,

making IoT as a standard can help the

researchers in providing a common platform for

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ISSN – 2394-0573 All Rights Reserved © 2017 IJEETE Page 171

producing products and services for smart home

designing. Therefore, multiple attempts have

made in order to overcome the technology and

application demands, while adapting to

dynamicity of service requests. A resource-

aware smart home management system was

proposed with an eff ective mechanism for

managing home resources and presents a base

architecture for autonomic services is presented

in [3]. The integration of ZigBee with IEEE

802.15.4 is capable of delivering eff ective

solutions in multiple interest areas i.e. energy

management and efficiency, building

automation, industrial plant management, etc.

[4][8].For example, Domotics and Security

home automation system proposes a novel

communication protocol that connects the

architectures IP-based elements through UDP

employing ZigBee technology [5] [2].

Moreover, the DOMOSEC has been evolved to

adapt into multiple settings with regards to the

contextual requirement i.e. greenhouse, e-health,

elderly care, and energy efficiency. However,

DOMOSEC does not provide any solution to

avoid interference and control packet loss, which

can ultimately aff ect the performance of the

smart home automation system. Similarly, many

other challenges are present in the current

literature such as high-energy consumption, high

packet loss due to the co-existence of

heterogeneous technologies, smart light control

systems, etc.

B. Background

The proposed smart home control system based on CoZNET used to mitigate the eff ect of interference and reduces the energy consumption of the smart home appliances.Theproposed interference control system divides the wireless channels among the sensor nodes and the WIFI users based on Multi-Attribute Decision Modeling (MADM). Similarly, a smart light control system is used to tune the illumination level in a room by incorporating the natural light. A management station is designed to control the working time of the smart home appliances. The simulation results reveal that the proposed CoZNET in integration with the management

station delivered an energy and interference aware solution than a relay and pure WSN based smart home systems.

II. Literature Survey

IoT plays an important role in enabling communication between diff erent objects in a smart home and smart city, therefore, several smart homes and cities are based on these new communication systems. To get familiar to these new terms literature survey is done on the key notes of energy aware smart home control system, and how it can be further deployed or controlled from cloud storage.

A. Introduction

The recent emerging smart home services provide various benefits ranging from improving customer experience to energy usage efficiency. However, designing a generic communication model integrating each entity of the smart home system is still a challenging job. To understand this let us get familiar with the methods, modules, scenario which are used in study of making a energy aware smart home control system.

B. Existing Methodologies

The proposed system is tested in a specific scenario and therefore, it cannot guarantee the similar services in a generic environment. In fact, the energy consumption of the smart home appliances is a critical task, which requires great care and management while addressing. To test the IoT in a generic environment, recently researchers proposed several techniques. For instance, energy-aware smart home systems are proposed in [6] and [7]. The authors developed a smart controller scheduling system to efficiently the energy consumption of the household appliances. A dynamic programming based algorithm is designed to control the activities of the smart home individuals. However, to maintain and manage the behavior of each individual requires a context-aware mechanism. Thus, highly increases the complexity of the system by adding extra modules to the system. Therefore, instead of wasting eff orts on the design of a smart home which require high




modification in the existing architecture. It is better to remain focused on the energy consumption of the household appliances using WSN technology. The sensors technology helps in controlling the household appliances through self-management. Moreover, self-management functionality in integration with WSN widely helps in reducing the unnecessary electricity consumption of the household appliances. In [8], the authors developed an Energy Communication Unit (ECU) to record the energy usage of the household appliances and perform necessary actions such as supplying and blocking the electrical energy to a household appliance. Moreover, a communication module is proposed based on ZigBee technology to transfer energy, power, voltage and current consumed by a household appliance to a central home server. In [9], the authors proposed a Home Energy Management (HEM) system for power consumption control based on a predefined voltage threshold during peak hours. The HEM follows a customer experience model to achieve high customer comfort level. Moreover, based on a user experience a local role model for weekdays and weekends is designed to keep the system updated with the latest customer experience. Furthermore, the load role helps in adjusting the usage of the power consumption of the household appliances by tuning the required voltage.

IoT

The Internet of things (stylised Internet of Things or IoT) is the internetworking of physical devices, vehicles (also referred to as ”connected devices” and ”smart devices”), buildings, and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data. [3] [5] [10] In 2013 the Global Standards Initiative on Internet of Things (IoT-GSI) defined the IoT as "the infrastructure of the information society."[10]The IoT allows objects to be sensed and/or controlled remotely across existing network infrastructure, [11]creating opportunities for more direct integration of the physical world into computer based systems, and resulting in improved efficiency, accuracy and economic benefit in addition to reduced human

intervention. [6]When IoT is augmented with sensors and actuators, the technology becomes an instance of the more general class of cyber physical systems, which also encompasses technologies such as smart grids, smart homes, intelligent transportation and smart cities. Each thing is uniquely identifiable through its embedded computing system but is able to interoperate within the existing Internet infrastructure. Experts estimate that the IoT will consist of almost 50 billion objects by 2020. [7]

CoZNET:

• Reduce the TAT and Make the better solution.

• High Performance IoT module solution.

• Security Solution.

• We are an IoT solution provider based on semiconductor companies.

• We help our customers to make better solution and have fun doing it.

• We deliver the right solution based on our patents and experience. [3]

ZigBee

ZigBee [3]is an IEEE 802.15.4-based specification for a suite of high level communication protocols used to create personal area networks with small, low-power digital radios, such as for home automation, medical device data collection, and other low-power low-bandwidth needs, designed for small scale projects which need wireless connection. The technology defined by the ZigBee specification is intended to be simpler and less expensive than other wireless personal area networks (WPANs), such as Bluetooth or Wi-Fi. Applications include wireless light switches, electrical meters with in-home-displays, traffic management systems, and other consumer and industrial equipment that requires short range low rate wireless data transfer. Its low power consumption limits transmission distances to 10100 meters line of sight, depending on power output and environmental characteristics. [5]ZigBee devices




can transmit data over long distances by passing data through a mesh network of intermediate devices to reach more distant ones. ZigBee is typically used in low data rate applications that require long battery life and secure networking (ZigBee networks are secured by 128 bit symmetric encryption keys).ZigBee has a defined rate of 250 kbit/s, best suited for intermittent data transmissions from a sensor or input device. ZigBee was conceived in 1998, standardized in 2003, and revised in 2006. The name refers to the waggle dance of honey bees after their return to the beehive. [10]

Figure: ZigBee

Smart Homes

Home automation or smart home [3](also known as domotics or domotica) is the residential extension of building automation and involves the control and automation of lighting, heating (such as smart thermostats), ventilation, air conditioning (HVAC), and security, as well as home appliances such as washer/dryers, ovens or refrigerators/freezers that use WiFi for remote monitoring. Modern systems generally consist of switches and sensors connected to a central hub sometimes called a ”gateway” from which the system is controlled with a user interface that is interacted either with a wall-mounted terminal, mobile phone software, tablet computer or a web interface, often but not always via internet cloud services. While there are many competing

vendors, there are very few worldwide accepted industry standards and the smart home space is heavily fragmented. [5]Popular communications protocol for products include Ethernet, Bluetooth LE (BLE), ZigBee, or other proprietary protocols all of which are incompatible with each other. [10]

WSN

Wireless sensor networks (WSN), sometimes called wireless sensor and actuator networks (WSAN), [3] [5]are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on. The WSN is built of "nodes" from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. Each such sensor network node has typically several parts: a radio transceiver with an internal antenna or connection to an external antenna, a microcontroller, an electronic circuit for interfacing with the sensors and an energy source, usually a battery or an embedded form of energy harvesting.




Figure: WSN

Wi-Fi AP

In computer networking, a wireless access point (WAP) is a networking hardware device that allows a Wi-Fi compliant device to connect to a wired network. The WAP usually connects to a router (via a wired network) as a standalone device, but it can also be an integral component of the router itself. A WAP is diff erentiated from a hotspot, which is the physical location where Wi-Fi access to a WLAN is available.

C. System Architecture

Introduction: This section presents a

sophisticated strategy to make privacy preserving

smart home control system based on the attribute

based meta data. Instead of aiming at making the

service unavailable, the proposed strategy aims

at exploiting the cloud flexibility, forcing the

application to consume more resources than

needed, aff ecting the private cloud customer

more on financial aspects than on the service

availability. System architecture mainly focuses

on the services available to develop the system.

The arrangement of various components and

attributes is also focused. How the system can be

made more flexible is also considered while

achieving goals of developing such technology.

The proposed energy aware smart home control

system is a simple arrangement of the smart

appliances in the house. How we can make it

energy aware and maintain this control over the

system by the owner of the house who will

maintain his own private cloud, and can thus

preserve security over his smart home. [3] The

complete architecture enables seamless

communication with a minimal interference, to

facilitate punctual and appropriate controlling of

household appliances in order to reduce the

residential energy consumption. The related

smart home scenario is clearly illustrated in

previous of Smart home Scenario, and the rest of

CoZNET system is divided into a three diff erent

parts i.e. [3]

• Smart Interference Control System (SICS)

• Smart Energy Control System (SECS)

•Smart Management Control System (SMCS).[3]

SICS:

The major concern of the CoZNET scheme is to address the key issues identified above with respect to the existing and past eff orts. It is revealed that the coexistence of multiple wireless technologies on the same ISM band influences the performance deterioration of each other. The smart home architecture utilizes WLAN and ZigBee WSN, which both operates on the 2.4GHz band, thus resulting the interference. [12] The distance from the Wi-Fi Access Point (AP) is also considered to be another key influential factor for the interference. Hence, the physical distance between the sensors and the Wi-Fi AP is taken into account to bring forth a solution, which addresses the consequences of interference. In the conventional WSN, the sensor nodes communicate with the management station directly or via relay nodes. Thus, causing a significant packet loss due to the high level of interference. In fact, the chances of packet loss are higher, while transferring data packets to a farther destination via sensors or relay nodes. These consequences degrade the performance of the smart home devices and sensors. Accordingly, the coordinators are introduced into the CoZNET scheme. They are placed in each room and kitchen, in order to minimize the packet loss due to the interference caused by coexistence and the distance from sensors to the management station. The physical distance is the vital factor to consider for the coordinator implantation in the smart home. [13]Mindful placement of coordinators ensures less chance of interference. Such stated placement of the coordinators guarantees the resilience of the network to reduce the number of hops to the management station, eventually minimizing the number of packet loss. Furthermore, the complete collection of the sensors within the smart home environment is divided into n number of groups as per to the distance factor between the sensors and sensor with WIFI AP.




However, in this work, we are interested in the interference between the sensors and WIFI AP. The sensors in proximity to the WIFI AP belongs to the first group. Moreover, the physical distance is less than the distance threshold. In a similar way, the remaining sensors are divided into groups, which adheres to lesser physical distance than the distance thresholds. [3] [14] Undoubtedly, the proximity to WIFI AP increases the level of interference, provoking the sensors in G1 to reach the highest level of interference. Once a ZigBee channel is occupied by a WLAN signal, the possibility of occupying adjacent channels by the WLAN is comparatively high. In order to address this phenomenon, each group G is assigned with a specific set of channels. TheG1 is assigned with non-overlapping channels because the sensor present in this group are closer to the WIFI AP. The rest of the channel assignment is carried out using the MADM decision modeling. The criteria used to select a channel using MADM technique is consists of bandwidth, occupancy, Signal-to-Interference-plus-Noise-Ratio (SINR), and quality. The entire MADM mechanism follows a five-step model as follows [3]:

• Classifying and normalizing the criteria in a decision matrix

• Constructing a weighted normalized decision matrix

• Computing negative and positive ideal situations

• Finding the separation from negative and positive ideal situations

• Computing the ranks of the available networks

SECS:

Energy management is a major concern in

today‟s world due to various reasons. This

component aims to enhance the energy

consumption efficiency in accordance with the

consumer needs. The energy efficiency of the

smart home is achieved with the aid of two sub-

components. [3]

• ZigBee sensor supported household appliance control system

• Light sensor supported lighting control system.

In this scenario, the energy consumption activities are solely depending on the residents‟ activities within the home environment. Therefore, the SECS is implemented to operate in a semi-automated manner. Once the user switches on an appliance manually, SECS is capable of switching off the appliance on commands from the management station. The energy consumption is monitored by means of the functioning time. Whenever the user turns on a device the time is recorded in the management station. As mentioned before, the appliances „activities are controlled corresponding to the user behavior. Therefore, the presence of the user is checking periodically by the SECS. [15] As the user leaves a particular location, all the active appliances are turned off to avoid energy wastage. Simultaneously, the appliance‟s turned off time is updated in the management station. Diff erential identification of the appliances is a crucial demand in terms of automated controlling. Thus, each appliance is attached with a ZigBee sensor deployed in the smart home environment. Each sensor is assigned a unique identification number, eventually served to distinguish the appliances from each other. In this context, the awareness of SECS related to the habitants‟ behavior appliances functioning is crucial. Therefore, the management station handles the communication between the home users with an event management system. The description of the events is provided in the next section. Apart from the controlling of home appliances, SECS enforces the utilization of natural light by its lighting control system. This promotes energy saving by adjusting the luminance of the smart home light source accordingly. The intensity of the sunlight is computed as a function of the area covered by the sunlight in a room, etc. [3]

SMCS:

Uninterrupted communication channels and acquired situational parameters are not just enough for the realization of an eff ective smart




home energy management system. The processing of gathered data is essential to formulate worth-while control commands. Hence, the data collected from the sensors and coordinators are sent to the brain of the smart home, SMCS. [16] Not only the processing of data but also organizing the data in the database, decision-making, event generation, performing actions, etc. are performed by SMCS to the empowerment of the smart home performance. As the gathered data are organized in the database, a thresh-old value is defined for each service i.e. electricity, gas, and water. Whenever the predefined threshold value is surpassing by any service it is taken as a sign of excessive energy consumption. In this respect, the SMCS periodically checks the service consumption against the predefined threshold. In addition, it triggers to generate an event to notify the smart user about the elevated service consumption. The smart home user has the authority to take necessary actions via remote access functionality. Once the SMCS receives the user acceptance for the event, the respective event is generated and is conveyed to the sensors. [3] For example, if the electricity consumption reaches beyond the threshold, each sensor attached to an electric appliance receives the event generated by the SMCS. Thereupon, the sensor checks for the presence of the user. If the user is available, the SMCS opts to wait until the user leaves, otherwise turn off the corresponding appliances immediately. In addition to the management of service consumption, the SMCS is capable of generating a monthly record of the utilization of services. In real world situation, the users are benefited if they are allowed to act proactively. Thus, the SMCS provides the statistics of the usage with respect to individual appliances, so that the user can manage them accordingly. As a result, the smart home is operated within the threshold limits for the service consumption. In general, the smart home user may not be available at a certain time to carry out the decision-making. Hence, the SMCS is automated along with a Human Machine Interface (HMI) for future adjustments, following the smart home user experience. Therefore, the unavailability of the user may not influence adversely to finalize the decisions. The automation system helps the user to adjust diff erent tasks in the smart home

such as a refrigerator and air-condition cooling, surveillance system i.e. locking the doors, etc. These functionalities help the user in reducing the energy consumption of the devices and ultimately helps in low bills,etc. [3]

III. Problem Definition

Problem definition mainly focus on the drawbacks of the existing system and also proposes the preliminaries which can be improved to achieve goals of the system.

A. Problem Statement

To overcome the drawback of existing

systems,we should try to develop or build

Privacy preserving software control of own

smart home control system. It aims to use the

attribute based meta-information to secure data

on the level of files without relying on additional

functionality of third-party services. A mobile

device application is used to access and alter the

meta-information. Attribute-based encryption

mechanisms secure the private data and define

access policies for mobile cloud data. Hence,this

can be used while we setup our own cloud

storage.So that we can control,check the status of

our smart home control system

anytime,anywhere.

B. Problems And Constraints

With the rise in growth of developing a energy

aware smart home control system,the concerns

about privacy preserving are also getting

increased. If the ZigBee network gets damaged

or is misleading u at times, you will be left with

no option gather than to completely shut down

the system. But reaching the peak in providing

and assuring privacy-preserved data access in

such systems is yet in progress and still needs

much attention to attain the goal. Addressing all

such issues and designing a system which could

not be compromised by the intruders or attackers

would mark the success of mobile cloud

computing. [3] [17] Trust is the main issue of the

subscribers in developing own cloud storage.

When it comes to MCC, this issue gains more

importance as the stakeholders increase in the

cloud environment for protecting user privacy

and data/application secrecy. One of the security




issue is mobile device users, other one is the data

privacy and security.

C. Example Scenario

Smart Home Scenario This eff ort proposes a smart home control system that addresses the issues mentioned before: • High packet loss caused due to the interference resulted from the coexistence of heterogeneous wireless technologies

• Unnecessary energy consumption by the smart home appliances • Inappropriate lighting control system, which neglects the natural illumination To overcome these, we have identified the need for an energy efficient autonomous controlling of the home appliances in an interference free environment, which provides all potential smart home services to meet consumer expectations and application demands. The backbone of the architecture is the Smart Interference Control System (SICS). The SICS mitigates the coexistence interference in the entire smart home,to provide uninterrupted communication services. Multi-attribute decision-making (MADM) based channel assignment mechanism is proposed in SICS, to ensure resilience in identifying and assigning less interfered channels, dynamically. The channel assignment process to each sensor takes place in collaboration with ZigBee coordinators. Since it facilitates a smoother communication with a minimal packet loss. The existing Home Energy Management Systems (HEMS) utilize renewable energies such as photovoltaic power and wind power to serve the consumer demands. In order to meet the consumer demands, the energy consumption efficiency is heightened in the smart home scenario with the aid of the smart energy control system (SECS). The SECS is built up with a household appliance control system and a light control system, respectively, supported by ZigBee sensors attached to each electrical appliance and light sensors placed in the smart home. [3] The piece of component, which manages the functionality of the smart home, is the smart management control system (SMCS). SMCS is the fundamental unit, which provides various facilities to the user in order to exploit

the controlling of the entire smart home. Thus, it is called to be the brain of the smart home, as it off ers logical decisions for an eff ective energy consumption, schedules events, stores information in a database, etc. In fact, the SMCS information low is bi-directional.

• Receive sensor inputs from the coordinators connected to the SMCS

• Send commands to control the appliances attached to the sensor

IV. Propose Work

Preliminaries are the things which will help us to achieve our goal to develop a smart home control system which can be operated from our own private cloud storage with security.

A. ownCloud

ownCloud is free and open source software that

operates as a very simple way to set up your own

syncing, Dropbox-like cloud storage system on

your own server or web site. It‟s robust enough

that it has replaced Dropbox for me in all except

a few choice cases. It‟s also quick and easy to set

up, and doesn‟t require advanced technical

knowledge. ownCloud is about as powerful as

Dropbox, but it also allows people to make and

share their own apps that run on ownCloud

including text editors, task lists, and more. That

means you can get a little more out of it then just

file syncing if you want.At the core of it,

ownCloud off ers up super easy file syncing from

your desktop to the cloud. To get an idea of how

it works, play around with the live demo here (it

looks like the live demo might be down at the

moment), and see a full list of its features here.

Like Dropbox, you can access your files from anywhere, sync data, and share files with others. OwnCloud (stylized ownCloud) is a suite of client-server software for creating file hosting services and using them. OwnCloud is functionally very similar to the widely used Dropbox, with the primary functional diff erence being that OwnCloud is free and open-source, and thereby allowing anyone to install and




operate it without charge on a private server. [3][1] It also supports extensions that allow it to work like Google Drive, with online document editing, calendar and contact synchronization, and more. Its openness eschews enforced quotas on storage space or the number of connected clients, instead having hard limits (like on storage space or number of users) defined only by the physical capabilities of the server.

Figure : OwnCloud App

B. Security in OwnCloud

ownCloud uses encryption in two major ways: when transferring data to and from the server; and when storing data on an external server. The first requires the use of TLS, a secure communication protocol for the internet. The ownCloud installation manual contains instructions for enabling TLS encryption and it is highly recommended to do this.For storing data encrypted on ownCloud, you need to have the ownCloud Encryption app enabled. It will then encrypt all your data with a strong, randomly generated key, which is then protected with your log-in password. Encryption and decryption always occurs on the server side. This enables you to continue to use all other apps to view and edit data. However, this method of encryption also means that the server administrator can intercept your data.What this means is that you (your ownCloud server) keeps the key to decrypt your data. This makes it possible to access your files over the web interface and share files with others. To run safely on a non-trusted server, data would have to be encrypted by the client (your computer, phone or other devices) before

being sent to the non-trusted ownCloud server and you would lose the web interface access.

C. The Encryption app

The goal of the Encryption app is to protect data on external storage. All files sent there will be encrypted by the ownCloud server, and upon retrieval, decrypted before serving them to you (or those you shared them with). The key to decrypt the data never leaves the ownCloud server. This makes the ownCloud Encryption app a great tool to benefit from cloud storage off ered by services like Dropbox or Google Drive while ensuring security and privacy of your data. Using the Encryption app is very simple. Just enable the app and the first time you

Figure: OwnCloud App

log in again it will start to encrypt your data. If

you later decide to disable the Encryption app, it

will provide the option to decrypt your files in

your personal settings. Please note that you

should be very careful not to lose your login

password as you will lose access to your files. As

admin you can set a recovery password. Keep in

mind that the Encryption app only encrypts the

content of your files. Filename and folder

structures are not protected. You can read more

technical details on the Encryption app in this

blog post.

Other technologies to protect your data

Application-specific encryption like the

ownCloud encryption app without external

storage makes little sense considering that you

can just encrypt the whole hard drive. Several




technologies exist which can encrypt your hard

drive or create an encrypted, protected file where

you can securely store data. We would

recommend dm-crypt on Linux, as well as

encrypts and decrypts for individual file and

folder encryption. Windows users could use

BitLocker and Mac users could try FileVault.

One should note that you can also use full-disk

encryption without physical access, with

dropbear and busybox you can setup a system

that you can unlock via SSH. On the server, hard

drive encryption on the operating system level

would secure your server from somebody who

gets physical access to it and steals the disks.

Note that this only secures your data when the

system is turned off , not while it is running!

Full-Disk Encryption not only gives better

security, it also off ers far better performance

(esp thanks to modern extensions in CPUs like

AES-NI).

D. Implications for security

ownCloud uses encryption to protect your data

when it is not on the ownCloud client or the

server. However, it does not encrypt data on your

computer or protect you if access to your

ownCloud server itself is compromised.There are

other widely available technologies which

provide protection of your data against diff erent

risks. The ownCloud Encryption app provides a

great way to secure your data on untrusted cloud

storage services. It is easy to enable and works

entirely unnoticeable for the user.

E. Architecture

The following figure shows the rough idea of how the output of SHCS can be used for further work,which a software touch to the whole SHCS.

Figure : Proposed work

As we are making a try to give a software touch

to SHCS, we here propose to use the results of

SHCS and make further improvements. For

example, what if the SHCS fails, there will be no

system to look after the smart home appliances

in the home, if anyone of them become non-

functional. In order to control the system as a

backup, we try to keep this control system in

ownCloud application through which the

individual owner can look after the system and

control as well.

V. Application

Application to Energy aware smart home control system can be none other than the home itself. As the home automation will increase, the need of such system will increase. There are several mobile applications that started to use mobile cloud computing advantages; in this part some typical examples are briefly explained.

• Since,this is smart home control system, also known as home automation inspired technology,its applications are obviously related to home automation.Any home automation ideas can be collaborated with this control system.

• Also ”energy aware” property makes this system more preferable than the other systems of controlling home automation.

• Controlling this system through ”ownCloud” (private cloud) can help in keeping a instant check on the energy consumption of your home appliances,and will help you to maintain your smart home.




VI. Conclusion

Drawing the conclusion based on the study of system architecture and the evaluation is one of the important thing to be done. Conclusions has to be made by considering the positive as well as the negative things of the technology, were the negative points can be left for the future work. If this system is collaborated with the ownCloud which will be handled by the owner of house or any member of that house, more results can be drawn, and more innovations can be done in home automation. No third party dependencies will remain. In future,if home automation out stands the security issues,the day is no long when India‟s most of the house will be automated. Thus, saving energy on great level. Since, we all know cloud computing,OwnCloud(private cloud), diff erent cloud storage is widely available to everyone, collaborating the idea of smart home control system with cloud services will enable users to get notifications,suggestions related to your smart home control system.

References

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[2] Y.Zhao, W.Sheng, J.Sun, and W.Shi, “Research and thinking of friendly smart home energy system based on smart power,” inProc. Int. Conf. Electr. Control Eng. (ICECE), Yichang, China, 2011.

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AUTHOR

Ms. Kajal B Borole Studying M.E (Ist year) in

CSE from SSBT College of Engineering, Jalgaon, Bambhori.

Mr. Manoj Patil assistant professor from

Department of Computer Science Engineering,

SSBT‟s College of Engineering & Technology,

Jalgaon, Bambhori

international journal of exploring emerging trends in ... journal of exploring emerging trends in...

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