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-speci\ufb01c 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 \u2013 several orders of magnitude less aggressive than today\u2019s fast propagating attacks \u2013 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 bene\ufb01ts of a multiresolution approach for worm defense.<\/p>\n","protected":false},"excerpt":{"rendered":"
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-speci\ufb01c properties such as scanning strategies and signatures. 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