• 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