A novel intrusion detection approaches based on data mining

Data mining has been gaining popularity in the knowledge discovery field, particularity with the increasing availability of digital documents in various languages from all around the world. Several data mining methods which applied in intrusion detection systems are introduced. And an agent-based network intrusion detection system using data mining approaches is presented. The proposed system is constructed by a number of agents, which are totally different in both training and detecting processes. The model can easily be adaptive and scalable with the adaptive learning ability of agents.