A New Meta-Heuristics for Intrusion Detection System Inspired from the Protection System of Social Bees

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

International Journal of Information Security and Privacy (IJISP), 2017, vol. 11, issue 1, 18-34

Abstract: In this paper, the authors will propose a meta-heuristic for intrusion detection system by scenario, inspired from the protection system of social bees to their hive. This approach is based on a specialized multi agent system where the authors will give a limited responsibility to each guard bee agent: to secure only one port, this specialization aims to better exploit the training set and the hardware and software performance. The authors will start this paper by a short introduction where they will show the importance of IT security especially today, then they will give a little insight into the state of the art, before starting the essential part of a scientific paper: “our approach” where the authors will explain the natural model, and then they'll simplify their model in a modelling table to share their vision and philosophy to switch from natural model to artificial model, and then they will detail the artificial model they are going to experience in the next chapter, they will discuss the results and make comparison in the two following chapter to get out with a conclusion and perspective of their future work.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jisp00:v:11:y:2017:i:1:p:18-34

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