Journal of Theoretical and Applied Information Technology
Intrusion Detection System (IDS) is a very useful tool for the defence of a network against attacks. Now-a-days, intruders use a complex attacks towards a target. This makes the IDS unable to detect all intrusions and the latter generate two frequent false alarms. This paper is to propose a new architecture of IDS allowing to increase the rate of intrusion detection and to minimize the false positive rate. The proposed architecture is based on mobile agents and data mining algorithms.