A multi-resolution approach for worm detection and containment

被引:21
|
作者
Sekar, Vyas [1 ]
Xie, Yinglian [1 ]
Reiter, Michael K. [1 ]
Zhang, Hui [1 ]
机构
[1] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
关键词
D O I
10.1109/DSN.2006.6
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:189 / 198
页数:10
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