An Automatic Generation of Textual Pattern Rules for Digital Content Filters Proposal, Using Grammatical Evolution Genetic Programming

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@Article{BastoFernandes:2014:PT,

• author = "Vitor Basto-Fernandes and Iryna Yevseyeva and Rafael Z. Frantz and Carlos Grilo and Noemi {Perez Diaz} and Michael Emmerich",
• title = "An Automatic Generation of Textual Pattern Rules for Digital Content Filters Proposal, Using Grammatical Evolution Genetic Programming",
• journal = "Procedia Technology",
• volume = "16",
• pages = "806--812",
• year = "2014",
• note = "CENTERIS 2014 - Conference on ENTERprise Information Systems / ProjMAN 2014 - International Conference on Project MANagement / HCIST 2014 - International Conference on Health and Social Care Information Systems and Technologies",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Spam filtering, Digital Content Filters, Classification",
• ISSN = "2212-0173",
• DOI = "doi:10.1016/j.protcy.2014.10.030",
• URL = "http://www.sciencedirect.com/science/article/pii/S2212017314002576",
• abstract = "This work presents a conceptual proposal to address the problem of intensive human specialised resources that are nowadays required for the maintenance and optimised operation of digital contents filtering in general and anti-spam filtering in particular. The huge amount of spam, malware, virus, and other illegitimate digital contents distributed through network services, represents a considerable waste of physical and technical resources, experts and end users time, in continuous maintenance of anti-spam filters and deletion of spam messages, respectively. The problem of cumbersome and continuous maintenance required to keep anti-spam filtering systems updated and running in an efficient way, is addressed in this work by the means of genetic programming grammatical evolution techniques, for automatic rules generation, having SpamAssassin anti-spam system and SpamAssassin public corpus as the references for the automatic filtering customisation.",

}

Genetic Programming entries for Vitor Basto-Fernandes Iryna Yevseyeva Rafael Z Frantz Carlos Grilo Noemi Perez Diaz Michael Emmerich

Citations