Measuring the histogram feature vector for anomaly network traffic

  • Authors:
  • Wei Yan

  • Affiliations:
  • McAfee Inc

  • Venue:
  • CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
  • Year:
  • 2005

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Abstract

Recent works have shown that Internet traffics are self- similar over several time scales from microseconds to minutes. On the other hand, the dramatic expansion of Internet applications give rise to a fundamental challenge to the network security. This paper presents a statistical analysis of the Internet traffic Histogram Feature Vector, which can be applied to detect the traffic anomalies. Besides, the Variant Packet Sending-interval Link Padding based on heavy-tail distribution is proposed to defend the traffic analysis attacks in the low or medium speed anonymity system.