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Evaluation of Classification Algorithms for Intrusion Detection in MANETs

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dc.affiliation.dptoUC3M. Departamento de Informáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: COSEC (Computer SECurity Lab)es
dc.contributor.authorPastrana, Sergio
dc.contributor.authorMitrokotsa, Aikaterini
dc.contributor.authorOrfila, Agustín
dc.contributor.authorPeris López, Pedro
dc.date.accessioned2012-07-25T08:33:36Z
dc.date.available2012-07-25T08:33:36Z
dc.date.issued2012-12
dc.description.abstractMobile 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.
dc.description.sponsorshipThis work has been partially supported by the Marie Curie IEF, project "PPIDR: Privacy-Preserving Intrusion Detection and Response in Wireless Communications", grant number 252323, and also by the Comunidad de Madrid and Carlos III University of Madrid, Project EVADIR CCG10-UC3M /TIC-5570.
dc.description.statusPublicado
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationKnowledge-Based Systems, (December 2012), v. 36, pp. 217-225.
dc.identifier.doi10.1016/j.knosys.2012.06.016
dc.identifier.issn0950-7051
dc.identifier.publicationfirstpage217
dc.identifier.publicationlastpage225
dc.identifier.publicationtitleKnowledge-Based Systems
dc.identifier.publicationvolume36
dc.identifier.urihttps://hdl.handle.net/10016/14984
dc.language.isoeng
dc.publisherElsevier
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.knosys.2012.06.016
dc.rights© Elsevier B.V.
dc.rights.accessRightsopen access
dc.subject.ecienciaInformática
dc.subject.otherMANETs
dc.subject.otherClassification algorithms
dc.subject.otherIntrusion detection
dc.subject.otherGenetic programming
dc.titleEvaluation of Classification Algorithms for Intrusion Detection in MANETs
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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