Abstract. 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.

Keywords: security, distributed systems, agent approach, neural networks.

ACM Classification Keywords: K.6.5 Security and Protection – Authentication, I.2.6 Learning - Connectionism and neural nets, I.2.11 Distributed Artificial Intelligence - Multiagent systems.

Link:

AGENT-BASED ANOMALIES MONITORING IN DISTRIBUTED SYSTEMS

Andrii Shelestov

http://www.foibg.com/ijita/vol15/ijita15-4-p11.pdf