Immunity diversity based multi-agent intrusion detection

In this paper, we propose a new method combining artificial immune with support vector machine for intrusion detection, where SVM is used as a core classification algorithm for detector. We introduce immunity diversity concept and we utilize immunity approach to create diversity detectors. We embed detector in Agents in use of the communication mechanism between the Agents, integrate each detection Agent´s result to get the judgment of intrusion detection. This distributing character makes a more robust system. Experiments show that this approach has higher detection accuracy than single SVM and Bagging.