Evaluation of a spyware detection system using thin client computing

  • Authors:
  • Vasilis Pappas;Brian M. Bowen;Angelos D. Keromytis

  • Affiliations:
  • Department of Computer Science, Columbia University;Department of Computer Science, Columbia University;Department of Computer Science, Columbia University

  • Venue:
  • ICISC'10 Proceedings of the 13th international conference on Information security and cryptology
  • Year:
  • 2010

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Abstract

Spyware - malicious software that passively collects users' information without their knowledge - is a prevalent threat. After a spyware program has collected and possibly analyzed enough data, it usually transmits such information back to its author. In this paper, we build a system to detect such malicious behaving software, based on our prior work on detecting crimeware. Our system is specifically designed to fit with thin-client computing, which is popular in some corporate environments. We provide implementation details, as well as experimental results that demonstrate the scalability and effectiveness of our system.