Performance evaluation of the fuzzy ARTMAP for network intrusion detection

Detalhes bibliográficos
Autor(a) principal: Araújo, Nelcileno
Data de Publicação: 2012
Outros Autores: Oliveira, Ruy de, Ferreira, Ed Wilson Tavares, Nascimento, Valtemir, Shinoda, Ailton Akira [UNESP], Bhargava, Bharat
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/978-3-642-34135-9_3
http://hdl.handle.net/11449/73676
Resumo: Recently, considerable research work have been conducted towards finding fast and accurate pattern classifiers for training Intrusion Detection Systems (IDSs). This paper proposes using the so called Fuzzy ARTMAT classifier to detect intrusions in computer network. Our investigation shows, through simulations, how efficient such a classifier can be when used as the learning mechanism of a typical IDS. The promising evaluation results in terms of both detection accuracy and training duration indicate that the Fuzzy ARTMAP is indeed viable for this sort of application.
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spelling Performance evaluation of the fuzzy ARTMAP for network intrusion detectionFuzzy ARTMAPintrusion detectionsecurityDetection accuracyEvaluation resultsIntrusion Detection SystemsLearning mechanismNetwork intrusion detectionPattern classifierPerformance evaluationNetwork securityIntrusion detectionRecently, considerable research work have been conducted towards finding fast and accurate pattern classifiers for training Intrusion Detection Systems (IDSs). This paper proposes using the so called Fuzzy ARTMAT classifier to detect intrusions in computer network. Our investigation shows, through simulations, how efficient such a classifier can be when used as the learning mechanism of a typical IDS. The promising evaluation results in terms of both detection accuracy and training duration indicate that the Fuzzy ARTMAP is indeed viable for this sort of application.Universidade Federal de Mato Grosso - UFMT, Cuiabá, MTInstituto Federal de Educacao, Ciencia e Tecnologia Do Estado de Mato Grosso - IFMT, Cuiabá, MTUniversidade Estadual Júlio de Mesquita Filho - UNESP, Ilha Solteira, SPPurdue University, West Lafayette, INUniversidade Estadual Júlio de Mesquita Filho - UNESP, Ilha Solteira, SPUniversidade Federal de Mato Grosso (UFMT)Instituto Federal de Educacao, Ciencia e Tecnologia Do Estado de Mato Grosso - IFMTUniversidade Estadual Paulista (Unesp)Purdue UniversityAraújo, NelcilenoOliveira, Ruy deFerreira, Ed Wilson TavaresNascimento, ValtemirShinoda, Ailton Akira [UNESP]Bhargava, Bharat2014-05-27T11:27:06Z2014-05-27T11:27:06Z2012-10-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject23-34http://dx.doi.org/10.1007/978-3-642-34135-9_3Communications in Computer and Information Science, v. 335 CCIS, p. 23-34.1865-0929http://hdl.handle.net/11449/7367610.1007/978-3-642-34135-9_32-s2.0-848676840979387430150792972Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengCommunications in Computer and Information Science0,170info:eu-repo/semantics/openAccess2024-07-04T19:11:18Zoai:repositorio.unesp.br:11449/73676Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:38:27.228040Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Performance evaluation of the fuzzy ARTMAP for network intrusion detection
title Performance evaluation of the fuzzy ARTMAP for network intrusion detection
spellingShingle Performance evaluation of the fuzzy ARTMAP for network intrusion detection
Araújo, Nelcileno
Fuzzy ARTMAP
intrusion detection
security
Detection accuracy
Evaluation results
Intrusion Detection Systems
Learning mechanism
Network intrusion detection
Pattern classifier
Performance evaluation
Network security
Intrusion detection
title_short Performance evaluation of the fuzzy ARTMAP for network intrusion detection
title_full Performance evaluation of the fuzzy ARTMAP for network intrusion detection
title_fullStr Performance evaluation of the fuzzy ARTMAP for network intrusion detection
title_full_unstemmed Performance evaluation of the fuzzy ARTMAP for network intrusion detection
title_sort Performance evaluation of the fuzzy ARTMAP for network intrusion detection
author Araújo, Nelcileno
author_facet Araújo, Nelcileno
Oliveira, Ruy de
Ferreira, Ed Wilson Tavares
Nascimento, Valtemir
Shinoda, Ailton Akira [UNESP]
Bhargava, Bharat
author_role author
author2 Oliveira, Ruy de
Ferreira, Ed Wilson Tavares
Nascimento, Valtemir
Shinoda, Ailton Akira [UNESP]
Bhargava, Bharat
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Mato Grosso (UFMT)
Instituto Federal de Educacao, Ciencia e Tecnologia Do Estado de Mato Grosso - IFMT
Universidade Estadual Paulista (Unesp)
Purdue University
dc.contributor.author.fl_str_mv Araújo, Nelcileno
Oliveira, Ruy de
Ferreira, Ed Wilson Tavares
Nascimento, Valtemir
Shinoda, Ailton Akira [UNESP]
Bhargava, Bharat
dc.subject.por.fl_str_mv Fuzzy ARTMAP
intrusion detection
security
Detection accuracy
Evaluation results
Intrusion Detection Systems
Learning mechanism
Network intrusion detection
Pattern classifier
Performance evaluation
Network security
Intrusion detection
topic Fuzzy ARTMAP
intrusion detection
security
Detection accuracy
Evaluation results
Intrusion Detection Systems
Learning mechanism
Network intrusion detection
Pattern classifier
Performance evaluation
Network security
Intrusion detection
description Recently, considerable research work have been conducted towards finding fast and accurate pattern classifiers for training Intrusion Detection Systems (IDSs). This paper proposes using the so called Fuzzy ARTMAT classifier to detect intrusions in computer network. Our investigation shows, through simulations, how efficient such a classifier can be when used as the learning mechanism of a typical IDS. The promising evaluation results in terms of both detection accuracy and training duration indicate that the Fuzzy ARTMAP is indeed viable for this sort of application.
publishDate 2012
dc.date.none.fl_str_mv 2012-10-25
2014-05-27T11:27:06Z
2014-05-27T11:27:06Z
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://dx.doi.org/10.1007/978-3-642-34135-9_3
Communications in Computer and Information Science, v. 335 CCIS, p. 23-34.
1865-0929
http://hdl.handle.net/11449/73676
10.1007/978-3-642-34135-9_3
2-s2.0-84867684097
9387430150792972
url http://dx.doi.org/10.1007/978-3-642-34135-9_3
http://hdl.handle.net/11449/73676
identifier_str_mv Communications in Computer and Information Science, v. 335 CCIS, p. 23-34.
1865-0929
10.1007/978-3-642-34135-9_3
2-s2.0-84867684097
9387430150792972
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Communications in Computer and Information Science
0,170
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 23-34
dc.source.none.fl_str_mv Scopus
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_ 1808128393497018368

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