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A dynamic backdoor detection system based on Dynamic Link Libraries

Author

Listed:
  • Shi-Jinn Horng
  • Ming-Yang Su
  • Ja-Ga Tsai

Abstract

We present a two-layer backdoor detection system in the article. In the first-layer, Zhang and Paxson's method is applied to identify keystroke interactive connection from network traffic. In the second-layer, we adopt the Dynamic Link Library (DLL) injection technique to record all DLLs employed by the programme that evokes such interactive connection. Compared the recorded data with some pre-defined Common Feature Tables, the second-layer can then determine whether the monitored programme is a backdoor. By experiments, the best result of our system got 94.44% detection rate while False Positive was zero. In the case, the overall accuracy was 97.22%.

Suggested Citation

  • Shi-Jinn Horng & Ming-Yang Su & Ja-Ga Tsai, 2008. "A dynamic backdoor detection system based on Dynamic Link Libraries," International Journal of Business and Systems Research, Inderscience Enterprises Ltd, vol. 2(3), pages 244-257.
    • Handle: RePEc:ids:ijbsre:v:2:y:2008:i:3:p:244-257
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