On Gray-Box Program Tracking for Anomaly Detection
Many host-based anomaly detection systems monitor a process ostensibly running a known program by observing the system calls the process makes. Numerous improvements to the precision of this approach have been proposed, such as tracking system call sequences, and various "gray-box" extensi...
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| Main Authors: | , , |
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| 格式: | text |
| 語言: | English |
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Institutional Knowledge at Singapore Management University
2004
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| 主題: | |
| 在線閱讀: | https://ink.library.smu.edu.sg/sis_research/1241 http://dl.acm.org/citation.cfm?id=1251383 |
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| 機構: | Singapore Management University |
| 語言: | English |
| 總結: | Many host-based anomaly detection systems monitor a process ostensibly running a known program by observing the system calls the process makes. Numerous improvements to the precision of this approach have been proposed, such as tracking system call sequences, and various "gray-box" extensions such as examining the program counter or return addresses on the stack when system calls are made. In this paper, we perform the first systematic study of a wide spectrum of such methods. We show that prior approaches can be organized along three axes, revealing new possibilities for system-call-based program tracking. Through an empirical analysis of this design space, we shed light on the benefits and costs of various points in the space and identify new regions that appear to outperform prior approaches. In separate contributions, we demonstrate novel mimicry attacks on a recent proposal using return addresses for system-call-based program tracking, and then suggest randomization techniques to make such attacks more difficult. |
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