An Immunological Filter for Spam
Lecture notes in computer sciencePublished 1 January 2006
George B. Bezerra, Tiago V. Barra, Hamilton M. Ferreira, Helder Knidel, Leandro Nunes de Castro, Fernando J. Von Zuben
Citations23
SJR quartileQ2
SJR score0.35
SNIP0.55
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TL;DR
SRABNET (Supervised Real-Valued Antibody Network) is proposed as an alternative filter to detect spam using a public corpus, called PU1, which has a large collection of encrypted personal e-mail messages containing legitimate messages and spam.
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.
Keywords
Computer ScienceMedicineEngineering
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