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Publicação
Optimising anti-spam filters with evolutionary algorithms
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Orientador(es)
Resumo(s)
This work is devoted to the problem of optimising scores for anti-spam filters, which is essential for the accuracy of any filter based anti-spam system, and is also one of the biggest challenges in this research area. In particular, this optimisation problem is considered from two different points of view: single and multiobjective problem formulations. Some of existing approaches within both formulations are surveyed, and their advantages and disadvantages are discussed. Two most popular evolutionary multiobjective algorithms and one single objective algorithm are adapted to optimisation of the anti-spam filters' scores and compared on publicly available datasets widely used for benchmarking purposes. This comparison is discussed, and the recommendations for the developers and users of optimising anti-spam filters are provided.
Descrição
Palavras-chave
Anti-spam filters Evolutionary computation Genetic algorithms Multiobjective optimisation
Contexto Educativo
Citação
Iryna Yevseyeva, Vitor Basto-Fernandes, David Ruano-Ordás, José R. Méndez, Optimising anti-spam filters with evolutionary algorithms, Expert Systems with Applications, Volume 40, Issue 10, 2013, Pages 4010-4021, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2013.01.008
Editora
Elsevier