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Applying graph-based anomaly detection approaches to the discovery of insider threats

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2 Author(s)
William Eberle ; Department of Computer Science, Tennessee Technological University, Cookeville, USA ; Lawrence Holder

The ability to mine data represented as a graph has become important in several domains for detecting various structural patterns. One important area of data mining is anomaly detection, but little work has been done in terms of detecting anomalies in graph-based data. In this paper we present graph-based approaches to uncovering anomalies in applications containing information representing possible insider threat activity: e-mail, cell-phone calls, and order processing.

Published in:

Intelligence and Security Informatics, 2009. ISI '09. IEEE International Conference on

Date of Conference:

8-11 June 2009