Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks

James D. Cannady

doi:10.1007/3-540-32391-0_31

Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks

James D. Cannady

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Soft Computing as Transdisciplinary Science and Technology
Volume	29
DOIs	https://doi.org/10.1007/3-540-32391-0_31
State	Published - May 1 2005

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Computer Sciences

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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.",

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AB - 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.

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JO - Soft Computing as Transdisciplinary Science and Technology

JF - Soft Computing as Transdisciplinary Science and Technology

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Self-Organizing Distributed Intrusion Detection in Mobile Ad Hoc Networks

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