Towards a High speed Router based AnomalyIntrusion detection System - PowerPoint PPT Presentation

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Towards a High speed Router based AnomalyIntrusion detection System

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Call for High Speed network detection solution (DARPA research ... Speed test (11M insertion/seconds) Memory consumption (9MB) Validation with other approaches ... – PowerPoint PPT presentation

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Title: Towards a High speed Router based AnomalyIntrusion detection System


1
Towards a High speed Router basedAnomaly/Intrusio
n detection System
  • Yan Gao Zhichun Li

2
Outline
  • Motivation
  • Related works
  • Our approach
  • Elementary evaluation result
  • Ongoing work

3
Motivation
  • attacks are commonplace, identifying them rapidly
    and accurately is critical
  • Existing network intrusion detection systems
    (IDS) are insufficient for the following two
    reasons.
  • First, they are mostly host-based or located on
    low-end routers, and not scalable to high-speed
    networks.
  • Second, most of the existing approaches are
    signature based, which cannot detect unknown
    network attacks.

4
Motivation (cont.)
  • Statistical IDS
  • Most of them based on overall traffic, cannot do
    further migration even they find some anomalies.
  • Most of them cannot detect SYN flooding and
    different types of port scans simultaneously
  • Call for High Speed network detection solution
    (DARPA research agenda)

5
Related works
  • SYN flooding detection
  • Change point monitoring (CPM)
  • Port Scan detection
  • Threshold Random work (TRW)
  • Very Fast Containment of Scanning Worms
  • Both
  • Partial Completion Filters (PCF)

6
Our approach threat model
  • Target
  • SYN flooding
  • Port scan
  • Horizontal scan
  • Vertical scan
  • Metrics
  • SYN SYN/ACK
  • SYN FIN
  • IP header fields
  • DIP, SIP, Dport, Sport

7
Our approach System design
  • Reversible Sketch
  • Forecast model (EMWA, Holt-winter)
  • 2D Sketch

8
Our approach reversible sketch
  • RS(Key, value)

9
Our approach detection algorithm
  • RS((DIP, Dport), SYN-SYN/ACK)
  • RS((SIP, DIP), SYN-SYN/ACK)
  • RS((SIP, Dport), SYN-SYN/ACK)

10
2D sketch
  • Structure of 2D sketch

Example UPDATE
11
Elementary evaluation result
  • Threshold Knee point
  • Data Set NU data 536M flow (3.48TB)
  • Sketch vs. Non-Sketch (FP2.34, FN0.5)
  • Speed test (11M insertion/seconds)
  • Memory consumption (9MB)
  • Validation with other approaches

12
Ongoing work
  • IP Mangling of RevSketch
  • Reduce false positive
  • Validation with other approaches
  • Manual validation
  • Holt-Winter result
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