Code Red Worm Propagation Modeling and Analysis

@misc{citeulike:2827031, abstract = {activities to model and analyze Internet worm propagation. In this paper we provide a careful analysis of Code Red propagation by accounting for two factors: one is the dynamic countermeasures taken by ISPs and users; the other is the slowed down worm infection rate because Code Red rampant propagation caused congestion and troubles to some routers. Based on the classical epidemic Kermack-Mckendrick model, we derive a general Internet worm model called the twofactor worm model. Simulations and...}, author = {Zou, C. and Gong, W. and Towsley, D. }, citeulike-article-id = {2827031}, posted-at = {2008-05-23 22:20:51}, priority = {2}, title = {Code Red Worm Propagation Modeling and Analysis}, url = {http://citeseer.ist.psu.edu/713393.html}, year = {2002} }

TY - GEN ID - citeulike:2827031 L3 - citeulike-article-id:2827031 TI - Code Red Worm Propagation Modeling and Analysis N2 - activities to model and analyze Internet worm propagation. In this paper we provide a careful analysis of Code Red propagation by accounting for two factors: one is the dynamic countermeasures taken by ISPs and users; the other is the slowed down worm infection rate because Code Red rampant propagation caused congestion and troubles to some routers. Based on the classical epidemic Kermack-Mckendrick model, we derive a general Internet worm model called the twofactor worm model. Simulations and... AU - Zou, C AU - Gong, W AU - Towsley, D PY - 2002/// UR - http://citeseer.ist.psu.edu/713393.html ER -