network intrusion detection systems ali shayan october 2008

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Network Intrusion Detection Systems Ali Shayan October 2008

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Page 1: Network Intrusion Detection Systems Ali Shayan October 2008

Network Intrusion Detection Systems

Ali Shayan

October 2008

Page 2: Network Intrusion Detection Systems Ali Shayan October 2008

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Introduction

• Intrusion – an attempt to compromise or misuse a computer system or network.

• Network Intrusion Detection System (NIDS) monitors packets on the network wire and attempts to discover if hackers are attempting to break into a system or cause a DOS.

• NIDS can run on the target or independent system.• Network NIDS monitor many machines.• System Integrity Verifiers (SIV) monitor system files to

detect trojan versions of system binaries. It may log the attempt as it occurs.

Page 3: Network Intrusion Detection Systems Ali Shayan October 2008

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Introduction

• Log File Monitors (LFM) monitor log files generated by network services.

• Deception Systems aka honeypots, fly-traps contain pseudo-services that emulate well-known holes in an attempt to trap hackers.

• Intruders – outsiders or insiders

Page 4: Network Intrusion Detection Systems Ali Shayan October 2008

• Physical Intrusion – console passwords, disk removal, etc.

• System Intrusion – hacker has a low privilege account on the system and uses a tool that exploits a weakness to gain system privilege.

• Remote Intrusion – gains access via a remote service on the system.

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How do Intruders Get In?

Page 5: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection

• Process of identifying and responding to malicious activities targeted against networks and its resources

• System that performs intrusion detection is called Intrusion Detection System (IDS)– complements prevention techniques (e.g. firewalls)

• defense mechanism behind outer barrier• works against insiders

– important market for security companies (ISS, Cisco)

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Page 6: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection

• Type of IDSs– Material-based

• HIDS (Host-based Intrusion Detection System)• NIDS (Network-based Intrusion Detection System)

– Detection Techniques • Misuse based / Signature based• Anomaly based• Hybrid

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Page 7: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection Techniques

• Misuse-based / Signature-based– observed behavior is compared against description of known,

undesirable behavior (signatures)– intrusion assumed when signature spotted in input data– comparable to virus scanner– all commercial systems follow this approach

– Advantages• accurate reports (low false positive rate)

– Disadvantages• needs continous update of signatures (like virus scanner)• unable of detecting novel intrusions

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Page 8: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection Techniques

• Anomaly based– behavior is compared against description of anticipated, legal behavior

(profile)– intrusion assumed when deviation between input and profile significant– statistical methods, AI techniques (neural networks)

– Advantages• capable of detecting novel attacks

– Disadvantages• difficult to configure / train• high number of false alarms (incorrect detects)

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Page 9: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection Domains

• Network based– input data is gathered from the network– packet sniffer, protocol analysis

– Advantages– complete set of events– access to events related to multiple hosts from a single sampling

point

– Disadvantages– performance issues (reassembling , de-fragmenting)– switched architectures– encryption– discrepancies between sensor and target viewpoint (eg. encryption,

TTL, ...)

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Page 10: Network Intrusion Detection Systems Ali Shayan October 2008

Network Based Detection

• Sample IDS‘s Idea– “Insertion, Evasion and Denial of Service”

– bases on different TCP/IP stack implementations in case of non-standard packets (header flags, options)

– TTL too short to reach target– different timeout policy for IP fragments / TCP segments– different reassembly policy in case of overlapping data

• NT, Solaris favour old data• Linux, FreeBSD, OpenBSD favour new data

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Page 11: Network Intrusion Detection Systems Ali Shayan October 2008

Network Based Detection

• Commercial systems – RealSecure (ISS)– Juniper (Juniper Networks Intrusion Prevention)– Cisco (Cisco IPS 4200 Series Sensors)

• Academic systems– NFR (Marcus Ranum)– NetSTAT (UCSB)– Emerald (SRI)– Bro

• Snort (http://www.snort.org)– designed to be lightweight and fast– based on libpcap (reads/writes tcpdump files)– simple rule-based analysis engine– simple pattern-matching functionalities

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Page 12: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection Domains

• Host based– produce data related to host activity– two main sources

• operating system– Syslog Daemon, klogd– Linux – LIDS– Solaris Auditing – Basic Security Model (BSM)– Windows NT Events

• application level– Apache logs– ftpd logs

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Page 13: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection Domains

• Syslog– Logging facility available in all UNIX system– accessible through syslog() that sends a log message to syslogd/klogd

• Syslog message – Indentity - usually the program name– Facility - specifies the source of the message (kernel, user, mail,

lpr, authpriv, daemon)– Level - determines the importance of the message (emerg, alert,

crit, err, warning, notice, info, debug)– Text message

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Page 14: Network Intrusion Detection Systems Ali Shayan October 2008

Intrusion Detection Challanges

• Recognize malicious actions in the huge stream of events provided by network monitors and host auditing facilities

• Detect intrusions in real-time

• Correlate detection results within and across security domains

• Integrate different systems so that all techniques (anomaly, misuse) and domains (host, network) are covered

• Deploy ID systems in very different environments and take into account the characteristics of the protected computer networks

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Page 15: Network Intrusion Detection Systems Ali Shayan October 2008

Where to locate IDS

• Network hosts• Network Perimeter• WAN/LAN Backbone• Server farms• Need to be on low-bandwidth nets to keep up with traffic.

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Page 16: Network Intrusion Detection Systems Ali Shayan October 2008

Fitting IDS with Security Framework

• Put firewalls between networks with different security requirements.

• Use scanners to check for exploits.• Set host policy to conform with standards.• Use NIDS to see what is actually happening.• Use Host based IDS to flag intrusions.• Create effective IRP.

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Page 17: Network Intrusion Detection Systems Ali Shayan October 2008

Sample IDS Placement

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INTERNET

IDS #3

FIREWALL

IDS #2

INTERNALNETWORK

IDS #4

IDS #1

IDS #1 – FW don’t produce enough info to effectively detect hits.IDS #2 – detects attacks that penetrate the FWIDS #3 – detects attacks attempted against the FWIDS #4 – Insider attacks will be detected

Page 18: Network Intrusion Detection Systems Ali Shayan October 2008

Attacks Against the NIDS

• Blind the sensor with high traffic rates.• Blind the event storage. Use decoy scans to fill up log

space.• DOS• Packet Fragmentation• Slow Scan• Coordinated low-bandwidth attacks

• Address spoofing• Pattern Change

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Page 19: Network Intrusion Detection Systems Ali Shayan October 2008

Questions to ask IDS Vendors

• How Much?• What do signature updates cost?• What traffic level blinds the IDS?• How easy to evade?• How scalable is it?• How many signatures does it support?• What IR features are included?

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