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Article
Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks
Soft Computing as Transdisciplinary Science and Technology
  • James D. Cannady, Jr., Nova Southeastern University
Document Type
Article
Event Date/Location
Muroran, Japan / 2005
Publication Date
5-1-2005
Abstract

This paper describes the initial results of a research program that is designed to enhance the security of wireless mobile ad hoc networks (MANET) by developing a distributed intrusion detection capability. Our approach uses self-organizing spiking neural networks that have the ability to establish connections across a widely distributed, and highly dynamic network. This capability enables our approach to demonstrate a distributed reasoning functionality that facilitates the detection of complex attacks against MANETs. The results of the evaluation of our approach and a discussion of additional areas of research is presented.

DOI
10.1007/3-540-32391-0_31
Disciplines
Citation Information
James D. Cannady. "Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks" Soft Computing as Transdisciplinary Science and Technology Vol. 29 (2005) p. 233 - 242 ISSN: 978-3-540-25055-5
Available at: http://works.bepress.com/james-cannady/61/