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EC-Council

312-50V11 · Question #105

Which of the following options represents a conceptual characteristic of an anomaly-based IDS over a signature-based IDS?

The correct answer is B. Can identify unknown attacks. Anomaly-based IDS detects deviations from a baseline of normal behavior, allowing it to identify novel attacks that have no known signature.

Evading IDS, Firewalls, and Honeypots

Question

Which of the following options represents a conceptual characteristic of an anomaly-based IDS over a signature-based IDS?

Options

  • AProduces less false positives
  • BCan identify unknown attacks
  • CRequires vendor updates for a new threat
  • DCannot deal with encrypted network traffic

How the community answered

(53 responses)
  • A
    2% (1)
  • B
    89% (47)
  • C
    8% (4)
  • D
    2% (1)

Why each option

Anomaly-based IDS detects deviations from a baseline of normal behavior, allowing it to identify novel attacks that have no known signature.

AProduces less false positives

Anomaly-based IDS typically produces more false positives than signature-based IDS because legitimate but unusual activity can trigger alerts.

BCan identify unknown attacksCorrect

Anomaly-based IDS builds a profile of normal network or system behavior and flags statistical deviations. Because it does not rely on pre-defined attack signatures, it can detect zero-day and previously unknown attacks that a signature-based system would miss entirely.

CRequires vendor updates for a new threat

Requiring vendor updates for new threat signatures is a characteristic of signature-based IDS, not anomaly-based IDS.

DCannot deal with encrypted network traffic

Inability to handle encrypted traffic is a limitation shared by both anomaly-based and signature-based IDS and is not a distinguishing characteristic of either.

Concept tested: Anomaly-based vs signature-based IDS detection capabilities

Source: https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-94.pdf

Topics

#anomaly-based IDS#signature-based IDS#zero-day detection#false positives

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