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Global dynamics of a network-based WSIS model for mobile malware propagation over complex networks

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  • Huang, Shouying

Abstract

For understanding the influence of user security awareness on the long-term spreading behavior of malware over mobile networks, in this paper, we intensively study the global dynamics of a novel network-based epidemic model with weakly-protected and strongly-protected susceptible nodes. Both analytical and numerical results show that the global dynamics of the model is completely governed by a threshold value. Specifically, we prove that when the value is lower than one, the malware-free equilibrium is globally asymptotically stable and mobile malware will disappear. When the value is greater than one, mobile malware will persist on the network, and in the meantime there exists a unique malware equilibrium which is globally asymptotically stable under certain conditions. The obtained results improve and enrich some known ones. Interestingly, increasing the recovery rate of infected nodes can result in the increase of strongly-protected susceptible nodes and the decrease of the threshold value. The study has valuable guiding significance in effectively controlling mobile malware spread.

Suggested Citation

  • Huang, Shouying, 2018. "Global dynamics of a network-based WSIS model for mobile malware propagation over complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 293-303.
    • Handle: RePEc:eee:phsmap:v:503:y:2018:i:c:p:293-303
    DOI: 10.1016/j.physa.2018.02.117
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    References listed on IDEAS

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    1. Wei, Xiaodan & Liu, Lijun & Zhou, Wenshu, 2017. "Global stability and attractivity of a network-based SIS epidemic model with nonmonotone incidence rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 789-798.
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    Cited by:

    1. Jose D. Hernandez Guillen & Angel Martin del Rey & Roberto Casado-Vara, 2021. "Propagation of the Malware Used in APTs Based on Dynamic Bayesian Networks," Mathematics, MDPI, vol. 9(23), pages 1-16, November.
    2. Lingyan Li & Lujiao Feng & Xiaotong Guo & Haiyan Xie & Wei Shi, 2020. "Complex Network Analysis of Transmission Mechanism for Sustainable Incentive Policies," Sustainability, MDPI, vol. 12(2), pages 1-25, January.

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