• DocumentCode
    1971304
  • Title

    A Multi-Resolution Approach forWorm Detection and Containment

  • Author

    Sekar, Vyas ; Xie, Yinglian ; Reiter, Michael K. ; Zhang, Hui

  • Author_Institution
    Carnegie Mellon Univ., Pittsburgh, PA
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    189
  • Lastpage
    198
  • Abstract
    Despite the proliferation of detection and containment techniques in the worm defense literature, simple threshold-based methods remain the most widely deployed and most popular approach among practitioners. This popularity arises out of the simplistic appeal, ease of use, and independence from attack-specific properties such as scanning strategies and signatures. However, such approaches have known limitations: they either fail to detect low-rate attacks or incur very high false positive rates. We propose a multi-resolution approach to enhance the power of threshold-based detection and rate-limiting techniques. Using such an approach we can not only detect fast attacks with low latency, but also discover low-rate attacks - several orders of magnitude less aggressive than today´s fast propagating attacks -with low false positive rates. We also outline a multi-resolution rate limiting mechanism for throttling the number of new connections a host can make, to contain the spread of worms. Our trace analysis and simulation experiments demonstrate the benefits of a multi-resolution approach for worm defense
  • Keywords
    invasive software; multiresolution approach; rate-limiting technique; threshold-based detection; worm containment; worm detection; Analytical models; Delay; Microwave integrated circuits; Multiresolution analysis; Robustness; Telecommunication traffic; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks, 2006. DSN 2006. International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7695-2607-1
  • Type

    conf

  • DOI
    10.1109/DSN.2006.6
  • Filename
    1633508