An Approach based on Social Bees for an Intrusion Detection System by Scenario
Ahmed Chaouki Lokbani, Ahmed Lehireche, Reda Mohamed Hamou, Mohamed Amine Boudia · International Journal of Organizational and Collective Intelligence · 2015
The aim of the authors' work is to model the intrusion detection system by scenario with a bio-inspired method in this case the system of protection of social bees. The natural pattern of social bees produces security efficiency by its three filters. In this paper, the authors focus on scenario approach they chose as a strategy to intrusion odor recognition of bees. They propose a new philosophy based on limited responsibility for each agent. This proposition aims to better exploit the performance of their hardware, and to use intelligently a kddcup'99 corpus.