A Survey on Bio-Inspired Method for Detection of Spamming

Mebarka Yahlali
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Mebarka Yahlali: Department of Computer Science, GeCoDe Laboratory, Dr. Tahar Moulay University of Saida, Saida, Algeria

International Journal of Strategic Information Technology and Applications (IJSITA), 2017, vol. 8, issue 3, 1-19

Abstract: The objective of this work is to show the importance of bi-inspiration SPAM filtering. To achieve this goal, the author compared two methods: Social bees vs inspiration from the Human Renal. The inspiration is taken from a biological model. Messages are indexed and represented by the n-gram words and characters independent of languages (because 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. The author starts this article with a short introduction where the readers will see the importance of IT security—especially today. The author then explains and experiments on a two original meta-heuristics and explains the natural model and then the artificial model.

Date: 2017
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