Power-Aware Intrusion Detection in Mobile Ad Hoc Networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/adhocnets/SenCT09,

• author = "Sevil Sen and John A. Clark and Juan E. Tapiador",
• title = "Power-Aware Intrusion Detection in Mobile Ad Hoc Networks",
• booktitle = "Ad Hoc Networks, First International Conference, {ADHOCNETS} 2009, Revised Selected Papers",
• year = "2009",
• editor = "Jun Zheng and Shiwen Mao and Scott F. Midkiff and Hua Zhu",
• volume = "28",
• series = "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",
• pages = "224--239",
• address = "Niagara Falls, Ontario, Canada",
• month = sep # " 22-25",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Mobile ad hoc networks, intrusion detection, power-aware, evolutionary computation, multi-objective optimization, MOGP",
• timestamp = "Tue, 21 Mar 2023 21:01:39 +0100",
• biburl = "https://dblp.org/rec/conf/adhocnets/SenCT09.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• URL = "https://web.cs.hacettepe.edu.tr/~ssen/files/papers/AdhocNets09.pdf",
• DOI = "doi:10.1007/978-3-642-11723-7_15",
• size = "16 pages",
• 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. 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 trade-offs between security criteria and the power they consume.",

}

Genetic Programming entries for Sevil Sen John A Clark Juan Manuel Estevez-Tapiador

Citations