DISTRIBUTED IDS ARCHITECTURE BASED ON LEARNING AND ANALYSIS MOBILE AGENTS
A distributed IDS architecture based on the machine learning, intrusion analysis mobile agents and data gathering static agents is proposed. This distributed IDS architecture emphasizes on encapsulating the machine learning algorithms related to the network security and the learned rule analysis models into the multiple mobile agents. The motivation is to cooperate to detect distributed and coordinated attacks in the network.