Two Methods for Detecting Malware

  • Maciej Korczyński
  • Gilles Berger-Sabbatel
  • Andrzej Duda
Part of the Communications in Computer and Information Science book series (CCIS, volume 368)


In this paper, we present two ways of detecting malware. The first one takes advantage of a platform that we have developed. The platform includes tools for capturing malware, running code in a controlled environment, and analyzing its interactions with external entities. The platform enables us to detect malware based on the observation of its communication behavior. The second approach uses a method for detecting encrypted Skype traffic and classifying Skype service flows such as voice calls, skypeOut, video conferencing, chat, file upload and download in Skype traffic. The method is based on the Statistical Protocol IDentification (SPID) that analyzes statistical values of some traffic attributes. We apply the method to identify malicious traffic—we have successfully detected the propagation of Worm.Win32.Skipi.b that spreads over the Skype messenger by sending infected messages to all Skype contacts on a victim machine.


Packet Size Video Conferencing Instant Messaging Voice Call Statistical Protocol 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Maciej Korczyński
    • 1
  • Gilles Berger-Sabbatel
    • 1
  • Andrzej Duda
    • 1
  1. 1.CNRS Grenoble Informatics Laboratory UMR 5217Grenoble Institute of TechnologySaint Martin d’Hères CedexFrance

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