BAYESIAN Network for Intrusion Detection
Liu Feng-yu · Mini-micro Systems · 2003
Intrusion Detection in a large network mainly rely on the use of many distributed agents. Agents should have a kind of artificial intelligence in order to cope successfully with different intrusion cases. In this paper, we suggest that all agents are constructed with Bayesian network. Its capabilities of learning, quick identification and processing of insufficient data sets can be used in intrusion detection, so that the system constructed is highly adaptive. Finally an experimental study is presented to indicate the applications of Bayesian network in intrusion detection.