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» A taxonomy of computer worms
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DSN
2005
IEEE
14 years 1 months 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
IDEAL
2004
Springer
14 years 25 days ago
Detecting Worm Propagation Using Traffic Concentration Analysis and Inductive Learning
As a vast number of services have been flooding into the Internet, it is more likely for the Internet resources to be exposed to various hacking activities such as Code Red and SQL...
Sanguk Noh, Cheolho Lee, Keywon Ryu, Kyunghee Choi...
RAID
2004
Springer
14 years 24 days ago
Fast Detection of Scanning Worm Infections
Worm detection and response systems must act quickly to identify and quarantine scanning worms, as when left unchecked such worms have been able to infect the majority of vulnerabl...
Stuart E. Schechter, Jaeyeon Jung, Arthur W. Berge...
RAID
2005
Springer
14 years 28 days ago
Virtual Playgrounds for Worm Behavior Investigation
To detect and defend against Internet worms, researchers have long hoped to have a safe convenient environment to unleash and run real-world worms for close observation of their in...
Xuxian Jiang, Dongyan Xu, Helen J. Wang, Eugene H....
DSS
2007
75views more  DSS 2007»
13 years 7 months ago
Short Term and Total Life Impact analysis of email worms in computer systems
This paper develops a methodology for analyzing and predicting the impact category of malicious code, particularly email worms. The current paper develops two frameworks to classi...
Insu Park, Raj Sharman, H. Raghav Rao, Shambhu J. ...