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Authors: Karim Tabia and Philippe Leray

Affiliation: Ecole Polytechnique de Nantes, France

Keyword(s): Bayesian networks, Alert correlation, IDSs’ reliability, Pearl’s virtual evidence method, Reject option.

Related Ontology Subjects/Areas/Topics: Information and Systems Security ; Intrusion Detection & Prevention

Abstract: Probabilistic graphical models are very efficient modeling and reasoning tools. In this paper, we propose an efficient and novel Bayesian network model for a major problem in alert correlation which plays a crucial role in nowadays computer security. Indeed, the use of multiple intrusion detection systems (IDSs) and complementary approaches is fundamental to improve the overall detection rates. This however inevitably rises huge amounts of alerts most of which are redundant and false alarms making the manual analysis of all the amounts of triggered alerts intractable. In this paper, we first propose a Bayesian network-based model allowing to handle the reliability of IDSs when predicting severe attacks by correlating the alerts reported by the IDSs monitoring the network. Then we propose a flexible and efficient approach especially designed to limit the false alarm rates by controlling the confidence of the prediction model. Finally, we provide experimental studies carried out on a real and representative alert corpus showing significant improvements regarding the tradeoffs between the prediction rates and the corresponding false alarm ones. (More)

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Paper citation in several formats:
Tabia, K. and Leray, P. (2010). HANDLING IDS’ RELIABILITY IN ALERT CORRELATION - A Bayesian Network-based Model for Handling IDS’s Reliability and Controlling Prediction/False Alarm Rate Tradeoffs. In Proceedings of the International Conference on Security and Cryptography (ICETE 2010) - SECRYPT; ISBN 978-989-8425-18-8; ISSN 2184-3236, SciTePress, pages 14-24. DOI: 10.5220/0002949800140024

@conference{secrypt10,
author={Karim Tabia. and Philippe Leray.},
title={HANDLING IDS’ RELIABILITY IN ALERT CORRELATION - A Bayesian Network-based Model for Handling IDS’s Reliability and Controlling Prediction/False Alarm Rate Tradeoffs},
booktitle={Proceedings of the International Conference on Security and Cryptography (ICETE 2010) - SECRYPT},
year={2010},
pages={14-24},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002949800140024},
isbn={978-989-8425-18-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the International Conference on Security and Cryptography (ICETE 2010) - SECRYPT
TI - HANDLING IDS’ RELIABILITY IN ALERT CORRELATION - A Bayesian Network-based Model for Handling IDS’s Reliability and Controlling Prediction/False Alarm Rate Tradeoffs
SN - 978-989-8425-18-8
IS - 2184-3236
AU - Tabia, K.
AU - Leray, P.
PY - 2010
SP - 14
EP - 24
DO - 10.5220/0002949800140024
PB - SciTePress

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