Causal Connections Mining Within Security Event Logs

Khan, Saad and Parkinson, Simon (2017) Causal Connections Mining Within Security Event Logs. In: Proceedings of the 9th International Conference on Knowledge Capture. ACM. ISBN 9781450355537

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Abstract

Performing both security vulnerability assessment and configuration processes are heavily reliant on expert knowledge. This requirement often results in many systems being left insecure due to a lack of analysis expertise and access to specialist resources. It has long been known that a system's event log provides historical information depicting potential security threats, as well as recording configuration activities. In this paper, a novel technique is developed that can process security event logs on a computer that has been assessed and configured by a security professional, and autonomously establish causality amongst event log entries to learn performed configuration tasks. This extracted knowledge can then be exploited by non-professionals to plan steps that can improve the security of a previously unseen system.

Item Type:	Book Chapter
Uncontrolled Keywords:	Knowledge extraction; Automated; Causal
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools:	School of Computing and Engineering School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Conference Author Publisher
Depositing User:	Simon Parkinson
Date Deposited:	15 Nov 2017 14:37
Last Modified:	28 Aug 2021 15:26
URI:	https://eprints.hud.ac.uk/id/eprint/33841

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