On the use of co-occurrence matrices for network anomaly detection

  • Authors:

  • Christian Callegari;Stefano Giordano;Michele Pagano

  • Affiliations:

  • University of Pisa, Italy;University of Pisa, Italy;University of Pisa, Italy

  • Venue:
  • Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
  • Year:
  • 2009

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Abstract

In the last few years the number and impact of security attacks over the Internet have been continuously increasing. Since it is impossible to guarantee complete protection to a system by means of the "classical" prevention mechanisms, the use of Intrusion Detection Systems (IDSs) has emerged as a key element in network security. In this paper we address the problem considering some techniques for detecting network anomalies, based on the use of co-occurrence matrices, to model the "normal" behavior of the TCP connections. The performance analysis, shows a comparison among the different solutions, which demonstrates the effectiveness of the proposed methods.