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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/92

Title: Agent-based Anomalies Monitoring in Distributed Systems
Authors: Shelestov, Andrii
Keywords: Security
Distributed Systems
Agent Approach
Neural Networks
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
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.
URI: http://hdl.handle.net/10525/92
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 4

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