Intrusion Detection/Prevention Systems Objectives and Deliverable



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Intrusion Detection Approaches

  • Modeling
    • Features: evidences extracted from audit data
    • Analysis approach: piecing the evidences together
      • Misuse detection (a.k.a. signature-based)
      • Anomaly detection (a.k.a. statistical-based)
  • Deployment: Network-based or Host-based

Misuse Detection

  • activities
  • pattern matching
  • intrusion
  • Example: if (traffic contains “x90+de[^\r\n]{30}”) then “attack detected”
  • Advantage: Mostly accurate. But problems?

Anomaly Detection

  • probable intrusion
  • Define a profile describing
  • “normal” behavior, then
  • detects deviations. Thus can detect potential new attacks.
  • Any problem ?

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