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inria-00329730, version 1

An inference system for detecting firewall filtering rules anomalies

Tarek Abbes () a, Adel Bouhoula 1, Michael Rusinowitch () 2

23rd Annual ACM Symposium on Applied Computing - SAC'08 (2008) 2122-2128

Abstract: Firewalls are crucial equipments for protecting private networks. However by only deploying firewalls, administrators are far from securing their enterprises networks. Bad configurations may cause serious security breaches and network vulnerabilities. In particular, conflicting filtering rules lead to block legitimate traffic or to accept unwanted packets. We present in this paper a new classification method to detect overlaps between packet filters within one firewall. Our method processes a set of filtering rules that have a variable number of fields. A field has a range of values, represented by an interval or a variable length bit string, that may intersect with the corresponding field ranges of other rules. In order to detect overlaps we organize the conditions of each filtering rule in such a way that we can quickly separate non overlapping rules. This strategy allows us to avoid considering the entire rule header in many cases.

  • a –  ISECS
  • 1:  Ecole supérieure des télécommunications de Tunis (SUP'COM [TUNIS])
  • SUP'COM
  • 2:  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)
  • Domain : Computer Science/Logic in Computer Science
  • Keywords : Firewall – filtering rules – inference system – anomalies detection
 
  • inria-00329730, version 1
  • oai:hal.inria.fr:inria-00329730
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  • Submitted on: Monday, 13 October 2008 11:59:48
  • Updated on: Friday, 17 October 2008 14:19:51