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A New Meta-Heuristics for Intrusion Detection System by Scenario Inspired From the Protection System of Social Bees

A New Meta-Heuristics for Intrusion Detection System by Scenario Inspired From the Protection System of Social Bees
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Author(s): Ahmed Chaouki Lokbani (Dr. Tahar Moulay University of Saida, Algeria) and Mohamed Amine Boudia (Dr. Tahar Moulay University of Saida, Algeria)
Copyright: 2018
Pages: 12
Source title: Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management
Source Author(s)/Editor(s): Reda Mohamed Hamou (Dr. Tahar Moulay University of Saida, Algeria)
DOI: 10.4018/978-1-5225-3004-6.ch002

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Abstract

In this paper, the authors propose a meta-heuristic for intrusion detection system by scenario, inspired by the protection system of social bees to their hive. This approach is based on a specialized multi-agent system where the authors give 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 start this paper with a short introduction where they show the importance of IT security. Then they give a little insight into the state of the art, before starting the essential part of a scientific paper: “Our Approach,” where they explain the natural model. Finally, they simplify their model in a modelling table to share their vision and philosophy to switch from natural model to artificial model.

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