Tactical Manet Attack Detection Based on Fuzzy Sets Using Agent Communication

Abstract

This study describes a distributed attack detection approach for a tactical MANET using intelligent agents equipped with inference systems based on fuzzy logic. The results produce a prototype intrusion detection system capable of effectively detecting attacks in a tactical MANET with accuracy approaching 95%. The attack recognition system is implemented using stationary intelligent fuzzy agents (SIFA) resident on each node. Agents run autonomously on each node, collect packets from the data stream, extract relevant information, exchange information through light-weight messages, and trigger alerts using the fuzzy inference process.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA432121

Entities

People

  • Damian Watkins

Organizations

  • Morgan State University

Tags

Communities of Interest

  • Cyber

DTIC Thesaurus Topics

  • Abstracts
  • Ad Hoc Networks
  • Data Sets
  • Denial Of Service Attack
  • Detection
  • Fuzzy Sets
  • Information Operations
  • Intrusion
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Knowledge Management
  • Mesh Networks
  • Mobile Ad Hoc Networks
  • Networks
  • Recognition

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Networking
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • AI & ML