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A new framework for online rule threshold adjustment in intrusion detection

Moghimi, M and Saraee, MH 2011, A new framework for online rule threshold adjustment in intrusion detection , in: 2011 CSI International Symposium on Computer Science and Software Engineering (CSSE),, 15-16 June 2011, Tehran.

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Abstract

Generally, rule-based systems work to make sense of a large volume of alerts generated by the intrusion detection systems (IDSs) every minute. Hence, it is very significant to verify that these systems are error-free and that the rules are suitable for the current network. This topic is addressed by Rule Adjustment, which automatically adjusts the rules based on the current network environment. The problem with the rule adjustment is to adjust the internal thresholds and to keep the structure unchanged. In this paper, we propose a method for adjusting the rules, online. This method does the threshold adjustment without changing the structure of the rules. Here, our approach for online threshold adjustment is to monitor the alerts and detect constant changes in them. And then, we adjust the appropriate thresholds. We have implemented this method and evaluated it using real-world datasets. Our approach was successfully able to adjust the rules in all the cases with marginal error.

Item Type: Conference or Workshop Item (Paper)
Themes: Media, Digital Technology and the Creative Economy
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Computer Science and Software Engineering
Publisher: IEEE
Refereed: Yes
Related URLs:
Funders: Sepehr S. T. Co. Ltd, Tehran, Iran
Depositing User: Dr Mo Saraee
Date Deposited: 30 Aug 2013 16:31
Last Modified: 30 Nov 2015 23:53
URI: http://usir.salford.ac.uk/id/eprint/29446

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