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» Simulating Internet Worms
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IDEAL
2004
Springer
13 years 10 months 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...
INFOCOM
2003
IEEE
13 years 10 months ago
Modeling the Spread of Active Worms
— Active worms spread in an automated fashion and can flood the Internet in a very short time. Modeling the spread of active worms can help us understand how active worms spread...
Zesheng Chen, Lixin Gao, Kevin A. Kwiat
ACSAC
2004
IEEE
13 years 9 months ago
Worm Detection, Early Warning and Response Based on Local Victim Information
Worm detection systems have traditionally focused on global strategies. In the absence of a global worm detection system, we examine the effectiveness of local worm detection and ...
Guofei Gu, Monirul I. Sharif, Xinzhou Qin, David D...
DSN
2005
IEEE
13 years 11 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
IWIA
2003
IEEE
13 years 10 months ago
Designing a Framework for Active Worm Detection on Global Networks
Past active Internet worms have caused widespread damage. Knowing the connection characteristics of such a worm very early in its proliferation cycle might provide first responde...
Vincent Berk, George Bakos, Robert Morris