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A Multi-Resolution Approach forWorm Detection and Containment
Philadelphia, Pennsylvania June 25-June 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSN.2006.6International Conference on Dependabl ...
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Vyas Sekar, Carnegie Mellon University
Yinglian Xie, Carnegie Mellon University
Michael K. Reiter, Carnegie Mellon University
Hui Zhang, Carnegie Mellon University
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 multiresolution approach for worm defense.
Citation:
Vyas Sekar, Yinglian Xie, Michael K. Reiter, Hui Zhang, "A Multi-Resolution Approach forWorm Detection and Containment," dsn, pp.189-198, International Conference on Dependable Systems and Networks (DSN'06), 2006
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