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OSDI
2004
ACM
14 years 7 months ago
Automated Worm Fingerprinting
Network worms are a clear and growing threat to the security of today's Internet-connected hosts and networks. The combination of the Internet's unrestricted connectivit...
Sumeet Singh, Cristian Estan, George Varghese, Ste...
BROADNETS
2007
IEEE
14 years 1 months ago
Computer worm ecology in encounter-based networks
Abstract— Encounter-based network is a frequentlydisconnected wireless ad-hoc network requiring immediate neighbors to store and forward aggregated data for information dissemina...
Sapon Tanachaiwiwat, Ahmed Helmy
ICAC
2006
IEEE
14 years 1 months ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
DSN
2005
IEEE
14 years 18 days ago
Modeling and Automated Containment of Worms
Self-propagating codes, called worms, such as Code Red, Nimda, and Slammer, have drawn significant attention due to their enormous adverse impact on the Internet. There is a grea...
Sarah H. Sellke, Ness B. Shroff, Saurabh Bagchi
IDA
2010
Springer
13 years 1 months ago
Fingerprint classification based on subclass analysis using multiple templates of support vector machines
Fingerprint classification reduces the searching time of an automated fingerprint identification system. Since fingerprints have properties of intra-class diversities and inter-cla...
Jun-Ki Min, Jin-Hyuk Hong, Sung-Bae Cho