Security Distributed Systems Agent Approach Neural Networks
Institute of Information Theories and Applications FOI ITHEA
In this paper an agent-based approach for anomalies monitoring in distributed systems such as
computer networks, or Grid systems is proposed. This approach envisages on-line and off-line monitoring in order
to analyze users’ activity. On-line monitoring is carried in real time, and is used to predict user actions. Off-line
monitoring is done after the user has ended his work, and is based on the analysis of statistical information
obtained during user’s work. In both cases neural networks are used in order to predict user actions and to
distinguish normal and anomalous user behavior.