Evaluation of classification algorithms for intrusion detection in MANETs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Pastrana:2012:KS,
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author = "Sergio Pastrana and Aikaterini Mitrokotsa and
Agustin Orfila and Pedro Peris-Lopez",
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title = "Evaluation of classification algorithms for intrusion
detection in {MANETs}",
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journal = "Knowledge-Based Systems",
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volume = "36",
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pages = "217--225",
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year = "2012",
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keywords = "genetic algorithms, genetic programming, MANET,
Intrusion detection, Classification algorithms, Support
Vector Machines",
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ISSN = "0950-7051",
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DOI = "doi:10.1016/j.knosys.2012.06.016",
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URL = "http://www.sciencedirect.com/science/article/pii/S0950705112001876",
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abstract = "Mobile Ad hoc Networks (MANETs) are wireless networks
without fixed infrastructure based on the cooperation
of independent mobile nodes. The proliferation of these
networks and their use in critical scenarios (like
battlefield communications or vehicular networks)
require new security mechanisms and policies to
guarantee the integrity, confidentiality and
availability of the data transmitted. Intrusion
Detection Systems used in wired networks are
inappropriate in this kind of networks since different
vulnerabilities may appear due to resource constraints
of the participating nodes and the nature of the
communication. This article presents a comparison of
the effectiveness of six different classifiers to
detect malicious activities in MANETs. Results show
that Genetic Programming and Support Vector Machines
may help considerably in detecting malicious activities
in MANETs.",
- }
Genetic Programming entries for
Sergio Pastrana Portillo
Aikaterini Mitrokotsa
Agustin Orfila Diaz-Pabon
Pedro Peris-Lopez
Citations