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A System for Denial-of-
Service Attack Detection
Based on Multivariate
Correlation Analysis
Under The Guidance Of
:
Mr. Ritesh Kumar
Presented
By:
Amal Chacko
CONTENTS
 INTRODUCTION
 ARCHITECTURE
 CONCLUTION
 REFERENCE
What is a Denial Of Service Attack?
 Denial Of Service Attack (DoS) is an attack on a computer or network that
prevents legitimate use of its resources.
 In a DoS attack, attackers flood a victim system with non-legitimate service
requests or traffic to overload its resources, which prevents it from
performing intended task
TYPES..
 Denial of Service (DoS)
 Distributed Denial of Service (DDoS)
Symtoms Of A DoS Attack…
Impact Of DoS…
 Disabled network
 Disabled organization
 Financial loss
 Loss of goodwill
 Other attacks
 Sabotage
 Extortion
DoS Attack Technique…
DOS ATTACK TOOLS
􀁾 Jolt2
􀁾 Bubonic.c
􀁾 Land and LaTierra
􀁾 Targa
􀁾 Blast20
􀁾 Nemesy
􀁾 Panther2
􀁾 Crazy Pinger
􀁾 Some Trouble
􀁾 UDP Flood
􀁾 FSMax
DOS TOOL: JOLT2
 Allows remote attackers to
cause a denial of service attack
against Windows-based
Machines
 Causes the target machines
to
consume 100% of the CPU time
on processing the illegal packets
 Not Windows-specific. Cisco
routers and other gateways may
be vulnerable
DOS TOOL: NEMESYS
This application generate random packets
(protocol,port,etc
It's presense means that your computer is infected with
malicious software and is insecure
BOT (Derived From The Word Robot)
 IRC bot - also called zombie or drone.
 Internet Relay Chat (IRC) is a form of
realtime communication over the Internet.
It is mainly designed for group (one-to-
many) communication in discussion
forums called channels The bot joins a
specific IRC channel on an IRC server
and waits for further commands.
 The attacker can remotely control the bot
and use it for fun and also for profit.
 Different bots connected together is called
Botnet.
How Do They Infect?
Existing System
 Misuse Type Detection System.
 Anomaly Type Intrusion Detection System.
Proposed System
A System for Denial-of-Service
Attack Detection Based on
Multivariate Correlation
Analysis
Multivariate Correlation Analysis (MCA)
 Multivariate analysis (MVA) techniques allow more than two variables to be
analysed at once.
 MCA approach employs triangle area for extracting the correlative information
between the features within an observed data object.
 MCA approach supplies with the some benefits to data analysis.
SYSTEM ARCHITECTURE
Normal Profile Generation
 Assume there is a set of ‘g’ legitimate training traffic records.
 The triangle-area based MCA approach is applied to analyse the
records.
 Mahalanobis distance is adopted to measure the dissimilarity
between traffic records.
Algorithm For Profile Generation
Continued..
 1
 2
 3
Detection Mechanism
 Here we present a threshold-based anomaly detector .
 Normal profiles and Thresholds have direct influence on the performance of a
threshold-based detector.
 Mahalanobis Distance is adopted to measure the dissimilarity between traffic
records.
Algorithm For Attack Detection
Continued..
Threshold Selection:
The threshold given is used to differentiate attack traffic from the legitimate
one.
For a normal distribution, is usually ranged from 1 to 3.
Continued..
Attack Detection:
To detect DoS attacks, the lower triangle of the
TAM of an observed record needs to be generated.
The MD between the and the
stored in the respective pre generated normal profile Pro.
References…
 International Journal of Advanced Technology in Engineering and Science
Vol. No.3,Issue 07 July 2015.
 International Journal of Advanced Research in Computer and
Communication Engineering Vol. 3, Issue 10, October 2014.
 K. Houle et al., “Trends in Denial of Service Attack
Technology,”www.cert.org/archive/pdf/, 2001.
 A. Hussain, J. Heidemann, and C. Papadopoulos, “Identification of
Repeated Denial of Service Attacks,” Proc. INFOCOM ’06, Apr. 2006.
Conclusion..
 The MCA based TAM technique facilitates our system to be able to
distinguish both known and unknown DoS attacks from legitimate network
traffic.
 The MCA based TAM technique will provide:
 More detection accuracy.
Accurate characterization for traffic behaviors and detection of known and
unknown attacks respectively.
dos attacks

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dos attacks

  • 1. A System for Denial-of- Service Attack Detection Based on Multivariate Correlation Analysis Under The Guidance Of : Mr. Ritesh Kumar Presented By: Amal Chacko
  • 3. What is a Denial Of Service Attack?  Denial Of Service Attack (DoS) is an attack on a computer or network that prevents legitimate use of its resources.  In a DoS attack, attackers flood a victim system with non-legitimate service requests or traffic to overload its resources, which prevents it from performing intended task
  • 4. TYPES..  Denial of Service (DoS)  Distributed Denial of Service (DDoS)
  • 5. Symtoms Of A DoS Attack…
  • 6. Impact Of DoS…  Disabled network  Disabled organization  Financial loss  Loss of goodwill  Other attacks  Sabotage  Extortion
  • 8. DOS ATTACK TOOLS 􀁾 Jolt2 􀁾 Bubonic.c 􀁾 Land and LaTierra 􀁾 Targa 􀁾 Blast20 􀁾 Nemesy 􀁾 Panther2 􀁾 Crazy Pinger 􀁾 Some Trouble 􀁾 UDP Flood 􀁾 FSMax
  • 9. DOS TOOL: JOLT2  Allows remote attackers to cause a denial of service attack against Windows-based Machines  Causes the target machines to consume 100% of the CPU time on processing the illegal packets  Not Windows-specific. Cisco routers and other gateways may be vulnerable
  • 10. DOS TOOL: NEMESYS This application generate random packets (protocol,port,etc It's presense means that your computer is infected with malicious software and is insecure
  • 11. BOT (Derived From The Word Robot)  IRC bot - also called zombie or drone.  Internet Relay Chat (IRC) is a form of realtime communication over the Internet. It is mainly designed for group (one-to- many) communication in discussion forums called channels The bot joins a specific IRC channel on an IRC server and waits for further commands.  The attacker can remotely control the bot and use it for fun and also for profit.  Different bots connected together is called Botnet.
  • 12. How Do They Infect?
  • 13. Existing System  Misuse Type Detection System.  Anomaly Type Intrusion Detection System.
  • 14. Proposed System A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis
  • 15. Multivariate Correlation Analysis (MCA)  Multivariate analysis (MVA) techniques allow more than two variables to be analysed at once.  MCA approach employs triangle area for extracting the correlative information between the features within an observed data object.  MCA approach supplies with the some benefits to data analysis.
  • 17. Normal Profile Generation  Assume there is a set of ‘g’ legitimate training traffic records.  The triangle-area based MCA approach is applied to analyse the records.  Mahalanobis distance is adopted to measure the dissimilarity between traffic records.
  • 18. Algorithm For Profile Generation
  • 20. Detection Mechanism  Here we present a threshold-based anomaly detector .  Normal profiles and Thresholds have direct influence on the performance of a threshold-based detector.  Mahalanobis Distance is adopted to measure the dissimilarity between traffic records.
  • 21. Algorithm For Attack Detection
  • 22. Continued.. Threshold Selection: The threshold given is used to differentiate attack traffic from the legitimate one. For a normal distribution, is usually ranged from 1 to 3.
  • 23. Continued.. Attack Detection: To detect DoS attacks, the lower triangle of the TAM of an observed record needs to be generated. The MD between the and the stored in the respective pre generated normal profile Pro.
  • 24. References…  International Journal of Advanced Technology in Engineering and Science Vol. No.3,Issue 07 July 2015.  International Journal of Advanced Research in Computer and Communication Engineering Vol. 3, Issue 10, October 2014.  K. Houle et al., “Trends in Denial of Service Attack Technology,”www.cert.org/archive/pdf/, 2001.  A. Hussain, J. Heidemann, and C. Papadopoulos, “Identification of Repeated Denial of Service Attacks,” Proc. INFOCOM ’06, Apr. 2006.
  • 25. Conclusion..  The MCA based TAM technique facilitates our system to be able to distinguish both known and unknown DoS attacks from legitimate network traffic.  The MCA based TAM technique will provide:  More detection accuracy. Accurate characterization for traffic behaviors and detection of known and unknown attacks respectively.