1. Intrusion DetectionIntrusion Detection
SystemSystem

2. Intrusion and IntrusionIntrusion and Intrusion
DetectionDetection
 Intrusion : Attempting to break into orIntrusion : Attempting to break into or
misuse your system.misuse your system.
 Intruders may be from outside theIntruders may be from outside the
network or legitimate users of thenetwork or legitimate users of the
network.network.
 Intrusion can be a physical, system orIntrusion can be a physical, system or
remote intrusion.remote intrusion.

3. Different ways to intrudeDifferent ways to intrude
 Buffer overflowsBuffer overflows
 Unexpected combinationsUnexpected combinations
 Unhandled inputUnhandled input
 Race conditionsRace conditions

4. Intrusion Detection SystemIntrusion Detection System
Knowledge
Base
Response
Model
Alert
Data-
base
Event
Provider
Analysis Engine
Other
machines

5. Intrusion DetectionIntrusion Detection
Systems (IDS)Systems (IDS)
 Different ways of classifying an IDSDifferent ways of classifying an IDS
IDS based onIDS based on
– anomaly detectionanomaly detection
– signature based misusesignature based misuse
– host basedhost based
– network basednetwork based
– Stack basedStack based

6. Intrusion DetectionIntrusion Detection
Systems (IDS)Systems (IDS)
Intrusion Detection Systems look forIntrusion Detection Systems look for
attack signatures, which are specificattack signatures, which are specific
patterns that usually indicate maliciouspatterns that usually indicate malicious
or suspicious intent.or suspicious intent.

7. Anomaly based IDSAnomaly based IDS
 This IDS models the normal usage ofThis IDS models the normal usage of
the network as a noisethe network as a noise
characterization.characterization.
 Anything distinct from the noise isAnything distinct from the noise is
assumed to be an intrusion activity.assumed to be an intrusion activity.
– E.g flooding a host with lots of packet.E.g flooding a host with lots of packet.
 The primary strength is its ability toThe primary strength is its ability to
recognize novel attacks.recognize novel attacks.

8. Drawbacks of AnomalyDrawbacks of Anomaly
detection IDSdetection IDS
 Assumes that intrusions will beAssumes that intrusions will be
accompanied by manifestations that areaccompanied by manifestations that are
sufficiently unusual so as to permitsufficiently unusual so as to permit
detection.detection.
 These generate many false alarms andThese generate many false alarms and
hence compromise the effectiveness of thehence compromise the effectiveness of the
IDS.IDS.

9. Signature based IDSSignature based IDS
 This IDS possess an attackedThis IDS possess an attacked
description that can be matched todescription that can be matched to
sensed attack manifestations.sensed attack manifestations.
 The question of what information isThe question of what information is
relevant to an IDS depends upon whatrelevant to an IDS depends upon what
it is trying to detect.it is trying to detect.
– E.g DNS, FTP etc.E.g DNS, FTP etc.

10. Signature based IDSSignature based IDS
(contd.)(contd.)
 ID system is programmed to interpret a certainID system is programmed to interpret a certain
series of packets, or a certain piece of dataseries of packets, or a certain piece of data
contained in those packets,as an attack. Forcontained in those packets,as an attack. For
example, an IDS that watches web servers mightexample, an IDS that watches web servers might
be programmed to look for the string “phf” as anbe programmed to look for the string “phf” as an
indicator of a CGI program attack.indicator of a CGI program attack.
 Most signature analysis systems are based off ofMost signature analysis systems are based off of
simple pattern matching algorithms. In most cases,simple pattern matching algorithms. In most cases,
the IDS simply looks for a sub string within a streamthe IDS simply looks for a sub string within a stream
of data carried by network packets. When it findsof data carried by network packets. When it finds
this sub string (for example, the ``phf'' in ``GET /cgi-this sub string (for example, the ``phf'' in ``GET /cgi-
bin/phf?''), it identifies those network packets asbin/phf?''), it identifies those network packets as
vehicles of an attack.vehicles of an attack.

11. Drawbacks of SignatureDrawbacks of Signature
based IDSbased IDS
 They are unable to detect novelThey are unable to detect novel
attacks.attacks.
 Suffer from false alarmsSuffer from false alarms
 Have to programmed again for everyHave to programmed again for every
new pattern to be detected.new pattern to be detected.

12. Host/Applications basedHost/Applications based
IDSIDS
 The host operating system or theThe host operating system or the
application logs in the auditapplication logs in the audit
information.information.
 These audit information includesThese audit information includes
events like the use of identification andevents like the use of identification and
authentication mechanisms (loginsauthentication mechanisms (logins
etc.) , file opens and programetc.) , file opens and program
executions, admin activities etc.executions, admin activities etc.
 This audit is then analyzed to detectThis audit is then analyzed to detect
trails of intrusion.trails of intrusion.

13. Drawbacks of the hostDrawbacks of the host
based IDSbased IDS
 The kind of information needed to beThe kind of information needed to be
logged in is a matter of experience.logged in is a matter of experience.
 Unselective logging of messages mayUnselective logging of messages may
greatly increase the audit and analysisgreatly increase the audit and analysis
burdens.burdens.
 Selective logging runs the risk thatSelective logging runs the risk that
attack manifestations could be missed.attack manifestations could be missed.

14. Strengths of the hostStrengths of the host
based IDSbased IDS
 Attack verificationAttack verification
 System specific activitySystem specific activity
 Encrypted and switch environmentsEncrypted and switch environments
 Monitoring key componentsMonitoring key components
 Near Real-Time detection andNear Real-Time detection and
response.response.
 No additional hardwareNo additional hardware

15. Stack based IDSStack based IDS
 They are integrated closely with theThey are integrated closely with the
TCP/IP stack, allowing packets to beTCP/IP stack, allowing packets to be
watched as they traverse their way upwatched as they traverse their way up
the OSI layers.the OSI layers.
 This allows the IDS to pull the packetsThis allows the IDS to pull the packets
from the stack before the OS or thefrom the stack before the OS or the
application have a chance to processapplication have a chance to process
the packets.the packets.

16. Network based IDSNetwork based IDS
 This IDS looks for attack signatures inThis IDS looks for attack signatures in
network traffic via a promiscuousnetwork traffic via a promiscuous
interface.interface.
 A filter is usually applied to determineA filter is usually applied to determine
which traffic will be discarded orwhich traffic will be discarded or
passed on to an attack recognitionpassed on to an attack recognition
module. This helps to filter out knownmodule. This helps to filter out known
un-malicious traffic.un-malicious traffic.

17. Strengths of NetworkStrengths of Network
based IDSbased IDS
 Cost of ownership reducedCost of ownership reduced
 Packet analysisPacket analysis
 Evidence removalEvidence removal
 Real time detection and responseReal time detection and response
 Malicious intent detectionMalicious intent detection
 Complement and verificationComplement and verification
 Operating system independenceOperating system independence

18. Future of IDSFuture of IDS
 To integrate the network and hostTo integrate the network and host
based IDS for better detection.based IDS for better detection.
 Developing IDS schemes for detectingDeveloping IDS schemes for detecting
novel attacks rather than individualnovel attacks rather than individual
instantiations.instantiations.