Overview of intrusion detection using data-mining and the features selection

Most of traditional intrusion detection systems, Anomaly-Based detection and Signature-based detection, suffer from many drawbacks. This paper exposes the limits and drawback of traditional Intrusion detection systems. Consequently the main goal of this paper is to expose data mining techniques and approaches to improve the performance of the traditional intrusion detection system to identify known and unknown attack´s patterns.