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

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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)

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.

Suggested Citation

  • Reda Mohamed Hamou & Abdelmalek Amine & Amine Boudia, 2013. "A New Meta-Heuristic Based on Social Bees for Detection and Filtering of Spam," International Journal of Applied Metaheuristic Computing (IJAMC), IGI Global, vol. 4(3), pages 15-33, July.
    • Handle: RePEc:igg:jamc00:v:4:y:2013:i:3:p:15-33
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