Articles:
BotSwindler: Tamper Resistant Injection of Believable Decoys in VM-Based Hosts for Crimeware Detection
Brian M. Bowen; Pratap Prabhu; Vasileios Kemerlis; Stelios Sidiroglou; Angelos D. Keromytis; Salvatore Stolfo
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- Title:
- BotSwindler: Tamper Resistant Injection of Believable Decoys in VM-Based Hosts for Crimeware Detection
- Author(s):
-
Bowen, Brian M.
Prabhu, Pratap
Kemerlis, Vasileios
Sidiroglou, Stelios
Keromytis, Angelos D.
Stolfo, Salvatore - Date:
- 2010
- Type:
- Articles
- Department:
- Computer Science
- Permanent URL:
- http://hdl.handle.net/10022/AC:P:10845
- Part Number:
- 6307
- Book/Journal Title:
- Recent Advances in Intrusion Detection: 13th International Symposium, RAID 2010, Ottawa, Ontario, Canada, September 15-17, 2010: Proceedings
- Book Author:
- Jha, Somesh
- Publisher:
- Springer
- Publisher Location:
- New York
- 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.
- Subject(s):
- Computer science
- DOI:
- http://dx.doi.org/10.1007/978-3-642-15512-3_7
- Item views:
- 165