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Detection of Botnet Command and Control Traffic by the Identification of Untrusted Destinations

  • Pieter BurghouwtEmail author
  • Marcel Spruit
  • Henk Sips
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 152)

Abstract

We present a novel anomaly-based detection approach capable of detecting botnet Command and Control traffic in an enterprise network by estimating the trustworthiness of the traffic destinations. A traffic flow is classified as anomalous if its destination identifier does not origin from: human input, prior traffic from a trusted destination, or a defined set of legitimate applications. This allows for real-time detection of diverse types of Command and Control traffic. The detection approach and its accuracy are evaluated by experiments in a controlled environment.

Keywords

Botnets Network intrusion detection Anomaly detection 

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  1. 1.Parallel and Distributed Systems GroupDelft University of TechnologyDelftThe Netherlands

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