A Parallel Architecture for Stateful, High-Speed Intrusion Detection

  • Authors:
  • Luca Foschini;Ashish V. Thapliyal;Lorenzo Cavallaro;Christopher Kruegel;Giovanni Vigna

  • Affiliations:
  • Department of Computer Science, University of California, Santa Barbara;Department of Computer Science, University of California, Santa Barbara;Department of Computer Science, University of California, Santa Barbara;Department of Computer Science, University of California, Santa Barbara;Department of Computer Science, University of California, Santa Barbara

  • Venue:
  • ICISS '08 Proceedings of the 4th International Conference on Information Systems Security
  • Year:
  • 2008

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Abstract

The increase in bandwidth over processing power has made stateful intrusion detection for high-speed networks more difficult, and, in certain cases, impossible. The problem of real-time stateful intrusion detection in high-speed networks cannot easily be solved by optimizing the packet matching algorithm utilized by a centralized process or by using custom-developed hardware. Instead, there is a need for a parallel approach that is able to decompose the problem into subproblems of manageable size. We present a novel parallel matching algorithm for the signature-based detection of network attacks. The algorithm is able to perform stateful signature matching and has been implemented only using off-the-shelf components. Our initial experiments confirm that, by making the rule matching process parallel, it is possible to achieve a scalable implementation of a stateful, network-based intrusion detection system.