Dynamic Neural Networks in the Detection of Distributed Attacks in Mobile Ad-Hoc Networks

Author(s)

James D. Cannady Jr., Nova Southeastern UniversityFollow

Document Type

Article

Publication Title

International Journal of Network Security and Its Application

ISSN

0975-2307

Publication Date

1-2010

Abstract

This paper describes the latest 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. The current approach uses learning vector quantization neural networks that have the ability to identify patterns of network attacks in a distributed manner. This capability enables this approach to demonstrate a distributed analysis functionality that facilitates the detection of complex attacks against MANETs. The results of the evaluation of the approach and a discussion of additional areas of research is presented.

Volume

2

Issue

1

First Page

1

Last Page

7

NSUWorks Citation

Cannady, James D. Jr., "Dynamic Neural Networks in the Detection of Distributed Attacks in Mobile Ad-Hoc Networks" (2010). CCE Faculty Articles. 452.
https://nsuworks.nova.edu/gscis_facarticles/452