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Stability Analysis of a Rapid Scanning Worm Propagation Model with Quarantine Strategy

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Proceedings of International Conference on Computer Science and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 255))

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Abstract

Rapid scanning worms are a great threat to Internet infrastructure. To effectively defend against them, this paper proposed an epidemic SEIQV model with quarantine and vaccination strategies. Through analysis of this model, its stability condition is obtained: When the basic reproduction number is less than or equal to one, our model is stable at its worm-free equilibrium where worms finally get eliminated. Simulation results show that quarantine strategy is efficient, in terms of the number of infected hosts and reducing worm propagation speed.

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Acknowledgments

This research was supported by the Natural Science Foundation of China under No. 61272541, China Postdoctoral Science Foundation of China under No. 2013M532018, and Foundation of Hebei Normal University under No. L2010B21.

Author information

Authors and Affiliations

  1. Network Information Center, Yunnan University, Kunming, China

    Yong Yang

  2. Hebei Branch, CERNET Company Limited, Shijiazhuang, China

    Yinling Niu

  3. Computer Network Center, Hebei Normal University, Shijiazhuang, China

    Fangwei Wang & Honggang Guo

Authors
  1. Yong Yang
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  2. Yinling Niu
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  3. Fangwei Wang
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  4. Honggang Guo
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Corresponding author

Correspondence to Fangwei Wang .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

  2. Electronics and Computer Engineering Technology, Indiana State University, Terre Haute, IN, USA

    Xiaolong Li

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© 2014 Springer India

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Yang, Y., Niu, Y., Wang, F., Guo, H. (2014). Stability Analysis of a Rapid Scanning Worm Propagation Model with Quarantine Strategy. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Computer Science and Information Technology. Advances in Intelligent Systems and Computing, vol 255. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1759-6_13

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  • DOI: https://doi.org/10.1007/978-81-322-1759-6_13

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1758-9

  • Online ISBN: 978-81-322-1759-6

  • eBook Packages: EngineeringEngineering (R0)

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