Research Article
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
471 downloads
@INPROCEEDINGS{10.1007/978-3-642-11723-7_15, author={Sevil Şen and John Clark and Juan Tapiador}, title={Power-Aware Intrusion Detection in Mobile Ad Hoc Networks}, proceedings={Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers}, proceedings_a={ADHOCNETS}, year={2012}, month={7}, keywords={Mobile ad hoc networks intrusion detection power-aware evolutionary computation genetic programming multi-objective optimization}, doi={10.1007/978-3-642-11723-7_15} }- Sevil Şen
John Clark
Juan Tapiador
Year: 2012
Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-642-11723-7_15
Abstract
Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However they are more vulnerable to attacks than wired networks. In addition, conventional intrusion detection systems (IDS) are ineffective and inefficient for highly dynamic and resource-constrained environments. Achieving an effective operational MANET requires tradeoffs to be made between functional and non-functional criteria. In this paper we show how Genetic Programming (GP) together with a Multi-Objective Evolutionary Algorithm (MOEA) can be used to synthesise intrusion detection programs that make optimal tradeoffs between security criteria and the power they consume.
Copyright © 2009–2024 ICST
