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The Worm Propagation Model with Dual Dynamic Quarantine Strategy

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Intelligent Computing and Information Science (ICICIS 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 135))

Abstract

Internet worms are becoming more and more harmful with the rapid development of the Internet. Due to the extremely fast spread and great destructive power of network worms, strong dynamic quarantine strategies are necessary. Inspired by the real-world approach to the prevention and treatment of infectious diseases, this paper proposes a quarantine strategy based on dynamic worm propagation model: the SIQRV dual quarantine model. This strategy uses dynamic quarantine method to make the vulnerable host and infected host quarantined, and then release them after a certain period of time, regardless of whether quarantined host security is checked. Through mathematic modeling, it has been found that when the basic reproduction number R0 is less than a critical value, the system will stabilize in the disease-free equilibrium, that is, in theory, the infected hosts will be completely immune. Finally, by comparing the simulation results and numerical analysis, the basic agreement between the two curves supports the validity of the mathematical model. Our future work will be focusing on taking both the delay and double-quarantine strategy into account and further expanding the scale of our simulation work.

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© 2011 Springer-Verlag Berlin Heidelberg

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Yao, Y., Xie, Xw., Guo, H., Gao, Fx., Yu, G. (2011). The Worm Propagation Model with Dual Dynamic Quarantine Strategy. In: Chen, R. (eds) Intelligent Computing and Information Science. ICICIS 2011. Communications in Computer and Information Science, vol 135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18134-4_79

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  • DOI: https://doi.org/10.1007/978-3-642-18134-4_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18133-7

  • Online ISBN: 978-3-642-18134-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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