DocumentCode :
3100517
Title :
Online Signature Generation for Windows Systems
Author :
Li, Lixin ; Just, James E. ; Sekar, R.
Author_Institution :
Global InfoTek, Inc., Reston, VA, USA
fYear :
2009
fDate :
7-11 Dec. 2009
Firstpage :
289
Lastpage :
298
Abstract :
In this paper, we present a new, light-weight approach for generating filters for blocking buffer overflow attacks on Microsoft Windows systems. It is designed to be deployable as an "always on\´\´ component on production systems. To achieve this goal, it avoids expensive and intrusive techniques such as taint-tracking. The online nature of our system enables it to provide protection from a range of memory corruption exploits, including those involving unknown vulnerabilities, or known vulnerabilities but unknown exploits. In contrast, most previous signature generation techniques need to be run in sandboxed environments, and need working exploits to generate signatures. Moreover, our technique overcomes the "gap\´\´ problem faced by previous signature generation mechanisms, i.e., when the vulnerable memory region is corrupted between the overflow and the time an attack is detected. Another novel feature of our approach is that it is able to reason about likely lengths of vulnerable buffers, which can lead to more accurate signatures. Our experimental results are very promising, and demonstrate that the approach can generate effective signatures for many synthetic and real-world vulnerabilities.
Keywords :
operating systems (computers); security of data; Microsoft Windows system; buffer overflow attacks blocking method; memory corruption exploits; online signature generation; sandboxed environment; unknown vulnerability; vulnerable memory region; Application software; Automatic speech recognition; Buffer overflow; Computer security; Computer vision; Face detection; Filters; Payloads; Production systems; Protection; buffer overflow; self-healing; signature generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Security Applications Conference, 2009. ACSAC '09. Annual
Conference_Location :
Honolulu, HI
ISSN :
1063-9527
Print_ISBN :
978-0-7695-3919-5
Type :
conf
DOI :
10.1109/ACSAC.2009.34
Filename :
5380683
Link To Document :
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