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The effect of infected external computers on the spread of viruses: A compartment modeling study

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  • Yang, Lu-Xing
  • Yang, Xiaofan

Abstract

Inevitably, there exist infected computers outside of the Internet. This paper aims to understand how infected external computers affect the spread of computer viruses. For that purpose, a new virus–antivirus spreading model, which takes into account the effect of infected/immune external computers, is established. A systematic study shows that, unlike most previous models, the proposed model admits no virus-free equilibrium and admits a globally asymptotically stable viral equilibrium. This result implies that it would be practically impossible to eradicate viruses on the Internet. As a result, inhibiting the virus prevalence to below an acceptable level would be the next best thing. A theoretical study reveals the effect of different parameters on the steady virus prevalence. On this basis, a number of suggestions are made so as to contain virus spreading.

Suggested Citation

  • Yang, Lu-Xing & Yang, Xiaofan, 2013. "The effect of infected external computers on the spread of viruses: A compartment modeling study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6523-6535.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:24:p:6523-6535
    DOI: 10.1016/j.physa.2013.08.024
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    References listed on IDEAS

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    1. Ren, Jianguo & Yang, Xiaofan & Yang, Lu-Xing & Xu, Yonghong & Yang, Fanzhou, 2012. "A delayed computer virus propagation model and its dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 45(1), pages 74-79.
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    Cited by:

    1. Lin, Qianjin & Wang, Jiang & Yang, Shuangming & Yi, Guosheng & Deng, Bin & Wei, Xile & Yu, Haitao, 2017. "The dynamical analysis of modified two-compartment neuron model and FPGA implementation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 199-214.
    2. Chen, Lijuan & Hattaf, Khalid & Sun, Jitao, 2015. "Optimal control of a delayed SLBS computer virus model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 427(C), pages 244-250.
    3. Yonghong Xu & Jianguo Ren, 2016. "Propagation Effect of a Virus Outbreak on a Network with Limited Anti-Virus Ability," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-15, October.
    4. Zhang, Xulong & Gan, Chenquan, 2018. "Global attractivity and optimal dynamic countermeasure of a virus propagation model in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1004-1018.
    5. Zhang, Chunming & Huang, Haitao, 2016. "Optimal control strategy for a novel computer virus propagation model on scale-free networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 251-265.

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