A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks

Página do item simplificado
dc.contributor.authorVilela, Douglas W. F. L. [UNESP]
dc.contributor.authorFerreira, Ed' Wilson T. [UNESP]
dc.contributor.authorShinoda, Ailton Akira [UNESP]
dc.contributor.authorAraujo, Nelcileno V. de Souza
dc.contributor.authorOliveira, Ruy de
dc.contributor.authorNascimento, Valtemir E.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2015-03-18T15:56:37Z
dc.date.available2015-03-18T15:56:37Z
dc.date.issued2014-01-01
dc.description.abstractInternet access by wireless networks has grown considerably in recent years. However, these networks are vulnerable to security problems, especially those related to denial of service attacks. Intrusion Detection Systems(IDS)are widely used to improve network security, but comparison among the several existing approaches is not a trivial task. This paper proposes building a datasetfor evaluating IDS in wireless environments. The data were captured in a real, operating network. We conducted tests using traditional IDS and achieved great results, which showed the effectiveness of our proposed approach.en
dc.description.affiliationUniv Estadual Paulista, Dept Engn Eletr, Ilha Solteira, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, Dept Engn Eletr, Ilha Solteira, Brazil
dc.format.extent5
dc.identifierhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6860434&punumber%3D6851796%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6860394%29%26pageNumber%3D2
dc.identifier.citation2014 Ieee Colombian Conference On Communications And Computing (colcom). New York: Ieee, 5 p., 2014.
dc.identifier.lattes9387430150792972
dc.identifier.urihttp://hdl.handle.net/11449/117644
dc.identifier.wosWOS:000345778100038
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2014 Ieee Colombian Conference On Communications And Computing (colcom)
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectDataseten
dc.subjectsecurityen
dc.subjectpattern classificationen
dc.subjectneural networksen
dc.subjectBayes Neten
dc.titleA Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networksen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
unesp.author.lattes9387430150792972
unesp.author.lattes9387430150792972[3]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

Arquivos

Coleções

Artigos - Engenharia Elétrica - FEIS