Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/103507
Type: Artigo de evento
Title: An Immunological Filter For Spam
Author: Bezerra G.B.
Barra T.V.
Ferreira H.M.
Knidel H.
De Castro L.N.
Von Zuben F.J.
Abstract: Spam messages are continually filling email boxes of practically every Web user. To deal with this growing problem, the development of high-performance filters to block those unsolicited messages is strongly required. An Antibody Network, more precisely SRABNET (Supervised Real-Valued Antibody Network), is proposed as an alternative filter to detect spam. The model of the antibody network is generated automatically from the training dataset and evaluated on unseen messages. We validate this approach using a public corpus, called PU1, which has a large collection of encrypted personal e-mail messages containing legitimate messages and spam. Finally, we compared the performance with the well known naïve Bayes filter using some performances indexes that will be presented. © Springer-Verlag Berlin Heidelberg 2006.
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Rights: fechado
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Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-33750976384&partnerID=40&md5=a52a8d22814241135e56a104f1086e24
Date Issue: 2006
Appears in Collections:Unicamp - Artigos e Outros Documentos

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