Deliberative Agents for Intrusion Detection.

This work describes a multiagent system incorporating some
artificial intelligence techniques for intrusion detection. The proposed Intrusion
Detection System (IDS) provides a network administrator with a
comprehensive visualization of the network traffic. Thus, the network manager
can supervise the network activity and detect anomalies at a glance. This paper
describes the structure of the Mobile Visualization Connectionist Agent-Based
IDS (MOVICAB-IDS). The system includes deliberative agents using a
connectionist model to identify intrusions in computer networks. Some
experiments dealing with anomalous situations related to the Simple Network
Management Protocol are described.