CEC Faculty Articles

Title

Detection of Distributed Attacks in Mobile Ad-Hoc Networks Using Self-Organizing Temporal Neural Networks

Document Type

Article

Date

2010

Publication Title

In Proceedings of the 2nd International Conference on Agents and Artificial Intelligence - Artificial Intelligence

First Page

229

Last Page

234

Description

Mobile ad hoc networks continue to be a difficult environment for effective intrusion detection. In an effort to achieve reliable distributed attack detection in a resource-efficient manner a self-organizing neural network-based intrusion detection system was developed. The approach, Distributed Self-organizing Intrusion Response (DISIR), enables real-time detection in a decentralized manner that demonstrates a distributed analysis functionality which 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.

DOI

10.5220/0002712802290234

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