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- Title
Optimization of Anti-Spam Systems with Multiobjective Evolutionary Algorithms.
- Authors
Basto-Fernandes, Vitor; Yevseyeva, Iryna; Méndez, José R.
- Abstract
In this paper anti-spam filtering is presented as a cumbersome service, as opposed to a software product perspective. The huge human effort for setting up, adaptation, maintenance, and tuning of filters for spam detection in anti-spam systems is explained Choosing the best importance scores for the spam filters is essential for the accuracy of any rules based anti-spam system, and is also one of the biggest challenges in this research area. Optimal filters score settings for Apache Spam Assassin project (the most widely adopted anti-spam open-source software) is addressed In addition to a survey done on single/multi-objective optimization research in this area, we also present a study for filters score setting using multiobjective optimization based on two most representative evolutionary algorithms, NSGA II and SPEA2. Problem description, simulation and results analysis is done for SpamAssassin public mail corpus which is widely used for benchmarking purposes.
- Subjects
PREVENTION of spam email; EVOLUTIONARY algorithms; FILTERING software; OPEN source software; MULTIPLE criteria decision making
- Publication
Information Resources Management Journal, 2013, Vol 26, Issue 1, p54
- ISSN
1040-1628
- Publication type
Article
- DOI
10.4018/irmj.2013010105