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Adaptive Optimization Techniques for Inteligent Network Security

Due to increasing incidents of cyber-attacks, building effective intrusion detection systems (IDS) are essential for protecting information systems security, and yet it remains an elusive goal and a great challenge. In this article, we report different adaptive optimization techniques for intelligent network security. Their structure is explained and main purpose. Collaboration between the different approaches is suggested as a result of the made analyses. This article was devoted to Reinforcement Learning and Fuzzy logic, which are the methods selected amongst several ones and a brief adaptation of multi-agent based fuzzy reinforcement learning is proposed.