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Campo DC | Valor | Idioma |
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dc.creator | Guzella, Thiago dos Santos | - |
dc.creator | Santos, Tomaz Aroldo Mota | - |
dc.creator | Caminhas, Walmir Matos | - |
dc.creator | Uchôa, Joaquim Quinteiro | - |
dc.date.accessioned | 2015-05-21T20:44:05Z | - |
dc.date.available | 2015-05-21T20:44:05Z | - |
dc.date.issued | 2015-05-21 | - |
dc.identifier.uri | http://repositorio.ufla.br/jspui/handle/1/9645 | - |
dc.description.abstract | In this paper, an immune-inspired model, named innate and adaptive artificial immune system (IA-AIS) is proposed and applied to the problem of identification of unsolicited bulk e-mail messages (SPAM). It integrates entities analogous to macrophages, B and T lymphocytes, modeling both the innate and the adaptive immune systems. An implementation of the algorithm was capable of identifying more than 99% of legitimate or SPAM messages in particular parameter configurations. It was compared to an optimized version of the na¨ıve Bayes classifier, which has been attained extremely high correct classification rates. It has been concluded that IA-AIS has a greater ability to identify SPAM messages, although the identification of legitimate messages is not as high as that of the implemented na¨ıve Bayes classifier. © 2008 Elsevier Ireland Ltd. All rights reserved. | pt_BR |
dc.language | en | pt_BR |
dc.rights | acesso aberto | pt_BR |
dc.source | Biosystems, Volume 92, Issue 3, June 2008, Pages 215-225 | pt_BR |
dc.subject | Artificial immune system | pt_BR |
dc.subject | SPAM identification | pt_BR |
dc.subject | Continuous learning | pt_BR |
dc.subject | Innate and adaptive immunity | pt_BR |
dc.subject | Regulatory t cells | pt_BR |
dc.title | Identification of SPAM messages using an approach inspired on the immune system | pt_BR |
dc.type | Artigo | pt_BR |
Aparece nas coleções: | DCC - Artigos publicados em periódicos |
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Arquivo | Descrição | Tamanho | Formato | |
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ARTIGO_Identification_of_SPAM_messages_using_an_approach_inspired_on_the_immune_system.pdf | 1,12 MB | Adobe PDF | Visualizar/Abrir |
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