Worm propagation modeling and analysis on network

Authors:
Yunkai Zhang;Fangwei Wang;Changguang Wang;Jianfeng Ma
Affiliations:
Computer Science and Technology, Xidian University, Xi’an, China;Network Center, Hebei Normal University, Shijiazhuang, Hebei, China;College of Physics Science and Information Engineering, Hebei Normal University, Shijiazhuang, Hebei, China;Computer Science and Technology, Xidian University, Xi’an, China
Venue:
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part II
Year:
2005

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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.