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

Detalhes bibliográficos
Autor(a) principal: Vilela, Douglas W. F. L. [UNESP]
Data de Publicação: 2014
Outros Autores: Ferreira, Ed' Wilson T. [UNESP], Shinoda, Ailton Akira [UNESP], Araujo, Nelcileno V. de Souza, Oliveira, Ruy de, Nascimento, Valtemir E.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6860434&punumber%3D6851796%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6860394%29%26pageNumber%3D2
http://hdl.handle.net/11449/117644
Resumo: Internet 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.
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spelling A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless NetworksDatasetsecuritypattern classificationneural networksBayes NetInternet 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.Univ Estadual Paulista, Dept Engn Eletr, Ilha Solteira, BrazilUniv Estadual Paulista, Dept Engn Eletr, Ilha Solteira, BrazilIeeeUniversidade Estadual Paulista (Unesp)Vilela, Douglas W. F. L. [UNESP]Ferreira, Ed' Wilson T. [UNESP]Shinoda, Ailton Akira [UNESP]Araujo, Nelcileno V. de SouzaOliveira, Ruy deNascimento, Valtemir E.2015-03-18T15:56:37Z2015-03-18T15:56:37Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject5http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6860434&punumber%3D6851796%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6860394%29%26pageNumber%3D22014 Ieee Colombian Conference On Communications And Computing (colcom). New York: Ieee, 5 p., 2014.http://hdl.handle.net/11449/117644WOS:0003457781000389387430150792972Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2014 Ieee Colombian Conference On Communications And Computing (colcom)info:eu-repo/semantics/openAccess2024-07-04T19:11:38Zoai:repositorio.unesp.br:11449/117644Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:21:18.080098Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
title A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
spellingShingle A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
Vilela, Douglas W. F. L. [UNESP]
Dataset
security
pattern classification
neural networks
Bayes Net
title_short A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
title_full A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
title_fullStr A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
title_full_unstemmed A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
title_sort A Dataset for Evaluating Intrusion Detection Systems in IEEE 802.11 Wireless Networks
author Vilela, Douglas W. F. L. [UNESP]
author_facet Vilela, Douglas W. F. L. [UNESP]
Ferreira, Ed' Wilson T. [UNESP]
Shinoda, Ailton Akira [UNESP]
Araujo, Nelcileno V. de Souza
Oliveira, Ruy de
Nascimento, Valtemir E.
author_role author
author2 Ferreira, Ed' Wilson T. [UNESP]
Shinoda, Ailton Akira [UNESP]
Araujo, Nelcileno V. de Souza
Oliveira, Ruy de
Nascimento, Valtemir E.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Vilela, Douglas W. F. L. [UNESP]
Ferreira, Ed' Wilson T. [UNESP]
Shinoda, Ailton Akira [UNESP]
Araujo, Nelcileno V. de Souza
Oliveira, Ruy de
Nascimento, Valtemir E.
dc.subject.por.fl_str_mv Dataset
security
pattern classification
neural networks
Bayes Net
topic Dataset
security
pattern classification
neural networks
Bayes Net
description Internet 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2015-03-18T15:56:37Z
2015-03-18T15:56:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6860434&punumber%3D6851796%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6860394%29%26pageNumber%3D2
2014 Ieee Colombian Conference On Communications And Computing (colcom). New York: Ieee, 5 p., 2014.
http://hdl.handle.net/11449/117644
WOS:000345778100038
9387430150792972
url http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6860434&punumber%3D6851796%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A6860394%29%26pageNumber%3D2
http://hdl.handle.net/11449/117644
identifier_str_mv 2014 Ieee Colombian Conference On Communications And Computing (colcom). New York: Ieee, 5 p., 2014.
WOS:000345778100038
9387430150792972
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2014 Ieee Colombian Conference On Communications And Computing (colcom)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808128924361687040

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