Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation

Detalhes bibliográficos
Autor(a) principal: Sousa, Pedro
Data de Publicação: 2013
Outros Autores: Cortez, Paulo, Vaz, Rui Fernando Martins, Rocha, Miguel, Rio, Miguel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/1822/25057
Resumo: Post-print version (prior to journal publication)
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spelling Email spam detection : a symbiotic feature selection approach fostered by evolutionary computationSpam detectionContent-based filteringEvolutionary algorithmsNaïve BayesFeature selectionNaive BayesScience & TechnologyPost-print version (prior to journal publication)The electronic mail (email) is nowadays an essential communication service being widely used by most Internet users. One of the main problems affecting this service is the proliferation of unsolicited messages (usually denoted by spam) which, despite the efforts made by the research community, still remains as an inherent problem affecting this Internet service. In this perspective, this work proposes and explores the concept of a novel symbiotic feature selection approach allowing the exchange of relevant features among distinct collaborating users, in order to improve the behavior of anti-spam filters. For such purpose, several Evolutionary Algorithms (EA) are explored as optimization engines able to enhance feature selection strategies within the anti-spam area. The proposed mechanisms are tested using a realistic incremental retraining evaluation procedure and resorting to a novel corpus based on the well-known Enron datasets mixed with recent spam data. The obtained results show that the proposed symbiotic approach is competitive also having the advantage of preserving end-users privacy.The work of P. Cortez and P. Sousa was funded by FEDER, through the program COMPETE and the Portuguese Foundation for Science and Technology (FCT), within the project FCOMP-01-0124-FEDER-022674.World Scientific and Engineering Academy and Society (WSEAS)Universidade do MinhoSousa, PedroCortez, PauloVaz, Rui Fernando MartinsRocha, MiguelRio, Miguel2013-072013-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/25057eng0219-622010.1142/S0219622013500326@ World Scientific: http://dx.doi.org/10.1142/S0219622013500326info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:27:11Zoai:repositorium.sdum.uminho.pt:1822/25057Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:53:48.413306Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
title Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
spellingShingle Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
Sousa, Pedro
Spam detection
Content-based filtering
Evolutionary algorithms
Naïve Bayes
Feature selection
Naive Bayes
Science & Technology
title_short Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
title_full Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
title_fullStr Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
title_full_unstemmed Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
title_sort Email spam detection : a symbiotic feature selection approach fostered by evolutionary computation
author Sousa, Pedro
author_facet Sousa, Pedro
Cortez, Paulo
Vaz, Rui Fernando Martins
Rocha, Miguel
Rio, Miguel
author_role author
author2 Cortez, Paulo
Vaz, Rui Fernando Martins
Rocha, Miguel
Rio, Miguel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Sousa, Pedro
Cortez, Paulo
Vaz, Rui Fernando Martins
Rocha, Miguel
Rio, Miguel
dc.subject.por.fl_str_mv Spam detection
Content-based filtering
Evolutionary algorithms
Naïve Bayes
Feature selection
Naive Bayes
Science & Technology
topic Spam detection
Content-based filtering
Evolutionary algorithms
Naïve Bayes
Feature selection
Naive Bayes
Science & Technology
description Post-print version (prior to journal publication)
publishDate 2013
dc.date.none.fl_str_mv 2013-07
2013-07-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/25057
url http://hdl.handle.net/1822/25057
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0219-6220
10.1142/S0219622013500326
@ World Scientific: http://dx.doi.org/10.1142/S0219622013500326
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv World Scientific and Engineering Academy and Society (WSEAS)
publisher.none.fl_str_mv World Scientific and Engineering Academy and Society (WSEAS)
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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