Intrusion detection system based interaction on mobile agents and clust-density algorithm “IDS-AM-Clust”

The efficiency of the security of computer systems depends on the efficiency of the used security tools. Generally, these tools such as IDS suffer from imperfections leading to a lower level of security. To overcome these problems, this work falls within the framework of the new generation of intrusion detection systems able to detect known and unknown attacks and reduce the rate of false positives and negatives, by coupling two recent technologies: mobile agents and a new data mining algorithm Clust-density in one single IDS named IDS-AM-Clust. The simulation results obtained by implementing our system prove the high level of detecting intrusion and also the possibility to minimize false positive and negative rates.