Worm propagation modeling and analysis on network

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Abstract

In recent years, network worms that had a dramatic increase in the frequency and virulence of such outbreaks have become one of the major threats to the security of the Internet. This paper provides a worm propagation model based on the SEIR deterministic model. The model adopts the birth rate and death rate so that it can provide a more realistic portrait of the worm propagation. In the process of defending worm, dynamic quarantine strategy, dynamic infecting rate and removing rate are adopted. The analysis shows that the worm propagation speed can be efficiently reduced to give people more precious time to defend it. So the negative influence of the worm can be reduced. The simulation results verify the effectiveness of the model. © Springer-Verlag Berlin Heidelberg 2005.

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Zhang, Y., Wang, F., Wang, C., & Ma, J. (2005). Worm propagation modeling and analysis on network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3802 LNAI, pp. 476–481). Springer Verlag. https://doi.org/10.1007/11596981_70

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