On the Inefficient Use of Entropy for Anomaly Detection

  • Authors:
  • Mobin Javed;Ayesha Binte Ashfaq;M. Zubair Shafiq;Syed Ali Khayam

  • Affiliations:
  • National University of Sciences & Technology, Islamabad, Pakistan;National University of Sciences & Technology, Islamabad, Pakistan;nexGIN RC, FAST National University, Islamabad, Pakistan;National University of Sciences & Technology, Islamabad, Pakistan

  • Venue:
  • RAID '09 Proceedings of the 12th International Symposium on Recent Advances in Intrusion Detection
  • Year:
  • 2009

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Abstract

Entropy-based measures have been widely deployed in anomaly detection systems (ADSes) to quantify behavioral patterns. The entropy measure has shown significant promise in detecting diverse set of anomalies present in networks and end-hosts. We argue that the full potential of entropy-based anomaly detection is currently not being exploited because of its inefficient use. In support of this argument, we highlight three important shortcomings of existing entropy-based ADSes. We then propose efficient entropy usage --- supported by preliminary evaluations --- to mitigate these shortcomings.