inria-00070766, version 1
Network Traffic Classification for Intrusion Detection
Tarek Abbes
1Michaël Rusinowitch 1Alakesh Haloi
N° RR-5230 (2004)
Résumé : Nowadays enterprises are looking for efficient security devices, like Intrusion Detection Systems (IDS), to supplement the firewalls supervision. Nevertheless, IDS are plugged with several problems that slow down their development: the high speed traffic and the increasing number of attack detection rules. We discuss in this paper new propositions to solve the outlined problems. Our first contribution consists in defining a new classification algorithm that splits the traffic using security policies and IDS characteristics. The proposed method can also be applied to quickly verify the detection rules. However, the memory consumption may grow up due to the increasing number of these rules. Therefore, we propose an efficient method to match the detection rules as our second contribution. The main idea is to properly organize the rules. This enables us to restrict the verification domain to only some ranges by taking advantage of the similarities and the differences between the different parts of the detection rules.
- 1 : CASSIS (INRIA Lorraine - LORIA / LIFC)
- INRIA – CNRS : FRE2661 – Université de Franche-Comté – Université Henri Poincaré - Nancy I – Université Nancy II – Institut National Polytechnique de Lorraine (INPL)
- Domaine : Informatique/Autre
- Mots-clés : intrusion detection – traffic classification – detection rules organization
- Référence interne : RR-5230
- inria-00070766, version 1
- http://hal.inria.fr/inria-00070766
- oai:hal.inria.fr:inria-00070766
- Contributeur : Rapport De Recherche Inria
- Soumis le : Vendredi 19 Mai 2006, 21:34:29
- Dernière modification le : Mercredi 28 Juin 2006, 14:55:56






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