DocumentCode
1294878
Title
Thwarting Zero-Day Polymorphic Worms With Network-Level Length-Based Signature Generation
Author
Lanjia Wang ; Zhichun Li ; Yan Chen ; Zhi Fu ; Xing Li
Author_Institution
Tsinghua Univ., Beijing, China
Volume
18
Issue
1
fYear
2010
Firstpage
53
Lastpage
66
Abstract
It is crucial to detect zero-day polymorphic worms and to generate signatures at network gateways or honeynets so that we can prevent worms from propagating at their early phase. However, most existing network-based signatures are specific to exploit and can be easily evaded. In this paper, we propose generating vulnerability-driven signatures at network level without any host-level analysis of worm execution or vulnerable programs. As the first step, we design a network-based length-based signature generator (LESG) for the worms exploiting buffer overflow vulnerabilities. The signatures generated are intrinsic to buffer overflows, and are very difficult for attackers to evade. We further prove the attack resilience bounds even under worst-case attacks with deliberate noise injection. Moreover, LESG is fast and noise-tolerant and has efficient signature matching. Evaluation based on real-world vulnerabilities of various protocols and real network traffic demonstrates that LESG is promising in achieving these goals.
Keywords
digital signatures; internetworking; invasive software; telecommunication traffic; attack resilience bounds; buffer overflow vulnerabilities; honeynets; host level analysis; network gateways; network traffic; network-level length-based signature generation; noise injection; signature matching; vulnerability driven signatures; zero-day polymorphic worms; Buffer overflow; Internet; Intrusion detection; Phase detection; Protection; Protocols; Resilience; Runtime; Scalability; Telecommunication traffic; length-based signature; polymorphic worm; worm signature generation; zero-day vulnerability;
fLanguage
English
Journal_Title
Networking, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1063-6692
Type
jour
DOI
10.1109/TNET.2009.2020431
Filename
5200325
Link To Document