Towards an Intelligent Intrusion Detection System: A Proposed Framework

Abstract

With the fast increase in network connectivity and reliance on information systems, the number of sophisticated threats has increased rapidly, hence demanding the development of intelligent security protection systems that are resilient to these new threats. This research has been conducted as an improvement to the Intrusion Detection Systems (IDS) detection methodology; it aims to design not only a framework for an intrusion detection system but also to make this system interact intelligently. The proposed IDS could self-customize itself to adopt different network topologies and network traffic situations and serve as a self-learner, which is a feature not seen in most commercial and open-source intrusion detection systems.