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BotSwindler: Tamper Resistant Injection of Believable Decoys in VM-Based Hosts for Crimeware Detection

  • Brian M. Bowen
  • Pratap Prabhu
  • Vasileios P. Kemerlis
  • Stelios Sidiroglou
  • Angelos D. Keromytis
  • Salvatore J. Stolfo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6307)

Abstract

We introduce BotSwindler, a bait injection system designed to delude and detect crimeware by forcing it to reveal during the exploitation of monitored information. The implementation of BotSwindler relies upon an out-of-host software agent that drives user-like interactions in a virtual machine, seeking to convince malware residing within the guest OS that it has captured legitimate credentials. To aid in the accuracy and realism of the simulations, we propose a low overhead approach, called virtual machine verification, for verifying whether the guest OS is in one of a predefined set of states. We present results from experiments with real credential-collecting malware that demonstrate the injection of monitored financial bait for detecting compromises. Additionally, using a computational analysis and a user study, we illustrate the believability of the simulations and we demonstrate that they are sufficiently human-like. Finally, we provide results from performance measurements to show our approach does not impose a performance burden.

Keywords

Virtual Machine Virtual Machine Monitor Polling Interval Taint Analysis Keystroke Dynamics 
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 2010

Authors and Affiliations

  • Brian M. Bowen
    • 1
  • Pratap Prabhu
    • 1
  • Vasileios P. Kemerlis
    • 1
  • Stelios Sidiroglou
    • 2
  • Angelos D. Keromytis
    • 1
  • Salvatore J. Stolfo
    • 1
  1. 1.Department of Computer ScienceColumbia University 
  2. 2.MITComputer Science and Artificial Intelligence Laboratory 

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