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Hybrid rule threshold adjustment system for intrusion detection

Moghimi, M; Saraee, MH

Authors

M Moghimi



Abstract

Generally, multiple IDSs generates huge volume of alerts every minute and to manage these alerts, rule-based alert management systems are very important. It is critical to keep the rules inside these systems updated, based on the ever changing network environment. Rule Threshold Adjustment is the solution to this problem and it is able to keep the rules updated. Rule Threshold Adjustment tunes the internal thresholds and keeps the structure unchanged. In this paper, we propose a hybrid threshold Adjustment framework by combining both the online and offline adjustment module together. This hybrid adjustment will be more robust and efficient in adjustment the threshold in real time and to keep the threshold fine-adjusted. The online module should work in real time to adjust the thresholds, whereas the offline module will be using some parts of the recent alerts to adjust the 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

Citation

Moghimi, M., & Saraee, M. (2011, September). Hybrid rule threshold adjustment system for intrusion detection. Presented at The 8th International ISC Conference on Information Security and Cryptology (ISCISC 2011), September 14-15, 2011 - Ferdowsi University of Mashhad,, Mashhad, Iran

Presentation Conference Type Other
Conference Name The 8th International ISC Conference on Information Security and Cryptology (ISCISC 2011), September 14-15, 2011 - Ferdowsi University of Mashhad,
Conference Location Mashhad, Iran
Start Date Sep 14, 2011
End Date Sep 15, 2011
Publication Date Sep 14, 2011
Deposit Date Aug 30, 2013
Book Title 2011 8th International ISC Conference on Information Security and Cryptology
DOI https://doi.org/10.1109/ISCISC.2011.6062342
Publisher URL http://dx.doi.org/10.1109/ISCISC.2011.6062342
Related Public URLs http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=6062342
Additional Information Event Type : Conference
Funders : Sepehr S. T. Co. Ltd, Tehran, Iran