Neural Network Multi-Agent System Network Security System User Behavior Model Intrusion Detection System Security
Issue Date:
2003
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
It is proposed an agent approach for creation of intelligent intrusion detection system. The system
allows detecting known type of attacks and anomalies in user activity and computer system behavior. The
system includes different types of intelligent agents. The most important one is user agent based on neural
network model of user behavior. Proposed approach is verified by experiments in real Intranet of Institute of
Physics and Technologies of National Technical University of Ukraine "Kiev Polytechnic Institute”.
