A New Meta-Heuristic Based on Social Bees for Detection and Filtering of Spam

Reda Mohamed Hamou, Abdelmalek Amine and Amine Boudia
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Reda Mohamed Hamou: Department of Mathematics and Computer Science, Dr. Moulay Tahar University of SAÏDA, Saida, Algeria
Abdelmalek Amine: Department of Mathematics and Computer Science, Dr. Moulay Tahar University of SAÏDA, Saida, Algeria
Amine Boudia: Department of Mathematics and Computer Science, Dr. Moulay Tahar University of SAÏDA, Saida, Algeria

International Journal of Applied Metaheuristic Computing (IJAMC), 2013, vol. 4, issue 3, 15-33

Abstract: Spam is now seized the Internet in phenomenal proportions since a high percentage of total emails exchanged on the Internet. In the fight against spam, the authors are interested in this article experiencing a meta-heuristic based on social bees. The authors took inspiration from biological model of social bees and especially, their organization in the workplace, and collective intelligence. The authors chose this meta-heuristic because it presents effects allow the authors to detect the characteristics of unwanted data. Messages are indexed and represented by the n-gram words and characters independent of languages ??(because a message can be received in any language). The results are promising and provide an important way for the use of this model for solving other problems in data mining.

Date: 2013
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