Application of Artificial Intelligence in Network Intrusion Detection: A Succinct Review

This paper presents a succinct review of the application of various Artificial Intelligence techniques and their advances in the design, development and application of Intrusion Detection Systems (IDS) for protecting computer and communication networks from intruders. These Computational Intelligence algorithms have been shown to demonstrate their respective capabilities to produce high performance accuracies in various applications. This study is intended to serve as an all-in-one resource to practitioners and researchers in this inter-disciplinary endeavor while assisting them to take a critical look at the various efforts made so far in order to design and develop new and better algorithms that will have the capability of solving most of the yet-unsolved problems in the field of Network Intrusion Detection. With the recent advancement in hybrid and ensemble systems, this paper also presents an overview of some of the existing systems and concluded by presenting suggestions for the innovative combination and integration of individual existing techniques in new and more efficient hybrid and ensemble algorithms as applied to IDS.