Evaluation of Classification Algorithms for Intrusion Detection in MANETs

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dc.contributor.author Pastrana, Sergio
dc.contributor.author Mitrokotsa, Aikaterini
dc.contributor.author Orfila, Agustín
dc.contributor.author Peris-López, Pedro
dc.date.accessioned 2012-07-25T08:33:36Z
dc.date.available 2012-07-25T08:33:36Z
dc.date.issued 2012-12
dc.identifier.bibliographicCitation Knowledge-Based Systems, (December 2012), v. 36, pp. 217-225.
dc.identifier.issn 0950-7051
dc.identifier.uri http://hdl.handle.net/10016/14984
dc.description.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.
dc.description.sponsorship This 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.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.rights © Elsevier B.V.
dc.subject.other MANETs
dc.subject.other Classification algorithms
dc.subject.other Intrusion detection
dc.subject.other Genetic programming
dc.title Evaluation of Classification Algorithms for Intrusion Detection in MANETs
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1016/j.knosys.2012.06.016
dc.subject.eciencia Informática
dc.identifier.doi 10.1016/j.knosys.2012.06.016
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 217
dc.identifier.publicationlastpage 225
dc.identifier.publicationtitle Knowledge-Based Systems
dc.identifier.publicationvolume 36
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