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International Conference on Computational and Information Science

CIS 2005: Computational Intelligence and Security pp 476–481Cite as

Worm Propagation Modeling and Analysis on Network

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

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.

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References

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Author information

Authors and Affiliations

  1. Computer Science and Technology, Xidian University, Xi’an, 710071, China

    Yunkai Zhang & Jianfeng Ma

  2. Network Center, Hebei Normal University, Shijiazhuang, Hebei, 050016, China

    Yunkai Zhang & Fangwei Wang

  3. College of Physics Science and Information Engineering, Hebei Normal University, Shijiazhuang, Hebei, 050016, China

    Changguang Wang

Authors
  1. Yunkai Zhang
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  2. Fangwei Wang
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  3. Changguang Wang
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  4. Jianfeng Ma
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Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China

    Yue Hao

  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  3. School of Computer Science and Technology, Xidian University, Xi’an, China

    Yu-Ping Wang

  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,  

    Yiu-ming Cheung

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China

    Jianfeng Ma

  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China

    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, Y., Wang, F., Wang, C., Ma, J. (2005). Worm Propagation Modeling and Analysis on Network. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981_70

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  • DOI: https://doi.org/10.1007/11596981_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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