Mining complex event patterns in computer networks

Authors:
Dietmar Seipel;Philipp Neubeck;Stefan Köhler;Martin Atzmueller
Affiliations:
Department of Computer Science, University of Würzburg, Germany;Google Germany GmbH, Munich, Germany;Infosim GmbH & Co. KG, Würzburg, Germany;Knowledge and Data Engineering Group, University of Kassel, Germany
Venue:
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Year:
2012

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Abstract

More and more ubiquitous and mobile computer networks are becoming available, which leads to a massive growth in the amount of traffic and according log messages. Therefore, sophisticated approaches for network management and analysis are necessary for handling and managing networks efficiently. In this paper, we show how to use temporal data mining in a declarative framework for analysing log files for computer networks. From a sequence of network management protocol messages, we derive temporal association rules, which state frequent dependencies between the occuring events. We also present methods for extendable and modular parsing of text messages and their analysis in log files based on Xml.