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A Stateful Approach to Spyware Detection and Removal
Riverside, California December 18-December 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PRDC.2006.1512th Pacific Rim International Sympos ...
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Ming-Wei Wu, National Taiwan University
Yennun Huang, AT&T Labs, Florham Park, NJ
Yi-Min Wang, Microsoft Research
Sy-Yen Kuo, National Taiwan University
Spyware, a type of potentially unwanted programs (PUPs), has become a significant threat to most Internet users as it introduces serious privacy disclosure and potential security breach to the systems. Current anti-spyware tools use signatures to detect spyware programs. Over time, spyware programs have grown more resilient to this technique; they utilize critical areas of the system to survive reboots and set up mini-installers that re-install a spyware program after it's been detected and removed. Since existing anti-spyware tools are stateless in the sense that they do not remember and monitor the spyware programs that were removed, they fail to permanently remove these self-healing spyware programs. This paper proposes STARS (Stateful Threat-Aware Removal System): a tool that at run time intercepts critical system accesses and assures removed spyware does not re-install itself after a successful removal of spyware program in the system. If a re-installation (self-healing) is detected, STARS infers the source of such activities and discovers additional "suspicious" programs. Experimental results show that STARS is effective in removing self-healing spyware programs that existing anti-spyware tools fail to do.
Citation:
Ming-Wei Wu, Yennun Huang, Yi-Min Wang, Sy-Yen Kuo, "A Stateful Approach to Spyware Detection and Removal," prdc, pp.173-182, 12th Pacific Rim International Symposium on Dependable Computing (PRDC'06), 2006
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