Intrusion detection system based interaction on mobile agents and clust-density algorithm “IDS-AM-Clust”
-The evolution of information systems requires the implementation of a high level of security to minimize the problems associated with these systems. Previous work have integrated intrusion detection systems ‘‘traditional’’ who have shown limited results. To remedy this problem, this work merges the two detection strategies "scenario approach and behavioral approach" in IDS chosen, by using a new IDS architecture through the development of mobile agents in the JADE platform by integrating data mining algorithms types clustering and density. Indeed, tests show that this new IDS increases the rate of detection and reduce the false positive rate, which is the perspective of performing these results. Keywords--intrusion, intrusion detection system, data mining algorithms, mobile agent.