Power-Aware Intrusion Detection in Mobile Ad Hoc Networks
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{DBLP:conf/adhocnets/SenCT09,
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author = "Sevil Sen and John A. Clark and Juan E. Tapiador",
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title = "Power-Aware Intrusion Detection in Mobile Ad Hoc
Networks",
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booktitle = "Ad Hoc Networks, First International Conference,
{ADHOCNETS} 2009, Revised Selected Papers",
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year = "2009",
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editor = "Jun Zheng and Shiwen Mao and Scott F. Midkiff and
Hua Zhu",
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volume = "28",
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series = "Lecture Notes of the Institute for Computer Sciences,
Social Informatics and Telecommunications Engineering",
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pages = "224--239",
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address = "Niagara Falls, Ontario, Canada",
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month = sep # " 22-25",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Mobile ad hoc
networks, intrusion detection, power-aware,
evolutionary computation, multi-objective optimization,
MOGP",
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timestamp = "Tue, 21 Mar 2023 21:01:39 +0100",
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biburl = "https://dblp.org/rec/conf/adhocnets/SenCT09.bib",
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bibsource = "dblp computer science bibliography, https://dblp.org",
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URL = "https://web.cs.hacettepe.edu.tr/~ssen/files/papers/AdhocNets09.pdf",
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DOI = "doi:10.1007/978-3-642-11723-7_15",
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size = "16 pages",
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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