2014 | OriginalPaper | Chapter
Modeling the Effect of Infection Time on Active Worm Propagations
Authors : Hui Liu, Xiaolong Ma, Tianzuo Wang, Bo Ding, Qiang Lu
Published in: Applications and Techniques in Information Security
Publisher: Springer Berlin Heidelberg
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Addressing the problem overlooked by those continuous time worm propagation models, namely it must take each worm instance a certain period of time delay to completely infect a targeted vulnerable host after it has scanned the host, the paper analyzes in depth the reasons which cause the well-known discrete time AAWP model also overestimating the spread speed of active worm propagations. Then the paper puts forward a more proper states transition of vulnerable hosts during active worm propagations. Last but the most important, a new model named Optimized-AAWP is proposed with more reasonable understanding of this time delay, i.e. infection time of a worm, in each round of worm infection. The simulation results show that the Optimized-AAWP model can reflect the important effect of infection time on active worm propagations more accurately.