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

Reda Mohamed Hamou, Abdelmalek Amine, Amine Boudia

Source Title: International Journal of Applied Metaheuristic Computing (IJAMC)4(3)

ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781466633988|DOI: 10.4018/ijamc.2013070102

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MLA

Hamou, Reda Mohamed, et al. "A New Meta-Heuristic Based on Social Bees for Detection and Filtering of Spam." IJAMC vol.4, no.3 2013: pp.15-33. http://doi.org/10.4018/ijamc.2013070102

APA

Hamou, R. M., Amine, A., & Boudia, A. (2013). A New Meta-Heuristic Based on Social Bees for Detection and Filtering of Spam. International Journal of Applied Metaheuristic Computing (IJAMC), 4(3), 15-33. http://doi.org/10.4018/ijamc.2013070102

Chicago

Hamou, Reda Mohamed, Abdelmalek Amine, and Amine Boudia. "A New Meta-Heuristic Based on Social Bees for Detection and Filtering of Spam," International Journal of Applied Metaheuristic Computing (IJAMC) 4, no.3: 15-33. http://doi.org/10.4018/ijamc.2013070102

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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.

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

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