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dc.contributor.authorAmaral, Dino Macedo-
dc.contributor.authorAraújo, Genival Mariano de-
dc.contributor.authorRomariz, Alexandre Ricardo Soares-
dc.date.accessioned2012-09-05T20:16:53Z-
dc.date.available2012-09-05T20:16:53Z-
dc.date.issued2011-
dc.identifier.citationAMARAL, Dino Macedo; ARAÚJO, Genival Mariano de; ROMARIZ, Alexandre Ricardo Soares. Detecting attacks to computer networks using a multi-layer perceptron artificial neural network. The International Journal of Forensic Computer Science, v. 3, n. 1, p. 70-74, 2011. Disponível em: <http://www.ijofcs.org/V03N1-P07%20-%20Detecting%20Attacks%20to%20Computer%20Networks.pdf>. Acesso em: 19 jun. 2012.en
dc.identifier.urihttp://repositorio.unb.br/handle/10482/11111-
dc.description.abstractIn this paper, we present concepts in artificial neural networks (ANN) to help detect intrusion attacks against network computers, and introduce and compare a multi-layer perceptron ANN (MLPANN) with Snort, an open-source tool for intrusion detection systems (IDS). To conduct these comparison experiments, we inserted malicious traffic into the MLPANN to train our ANN, with results indicating that our ANN detected 99% of these input attacks.en
dc.language.isoInglêsen
dc.publisherThe International Journal of Forensic Computer Scienceen
dc.rightsAcesso Abertoen
dc.titleDetecting attacks to computer networks using a multi-layer perceptron artificial neural networken
dc.typeArtigoen
dc.subject.keywordRedes de computação - medidas de segurançaen
dc.subject.keywordRedes neurais (Computação)en
dc.subject.keywordRedes de informação - sistemas de segurançaen
dc.rights.licenseDisponível sob Licença Creative Commons 3.0, que permite copiar, distribuir e transmitir o trabalho, desde que seja citado o autor e licenciante. Não permite o uso para fins comerciais nem a adaptação desta.en
dc.identifier.doihttps://dx.doi.org/10.5769/J200801007en
Collection(s) :Artigos publicados em periódicos e afins

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