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A tradeoff between the losses caused by computer viruses and the risk of the manpower shortage

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  • Jichao Bi
  • Lu-Xing Yang
  • Xiaofan Yang
  • Yingbo Wu
  • Yuan Yan Tang

Abstract

This article addresses the tradeoff between the losses caused by a new virus and the size of the team for developing an antivirus against the virus. First, an individual-level virus spreading model is proposed to capture the spreading process of the virus before the appearance of its natural enemy. On this basis, the tradeoff problem is modeled as a discrete optimization problem. Next, the influences of different factors, including the infection force, the infection function, the available manpower, the alarm threshold, the antivirus development effort and the network topology, on the optimal team size are examined through computer simulations. This work takes the first step toward the tradeoff problem, and the findings are instructive to the decision makers of network security companies.

Suggested Citation

  • Jichao Bi & Lu-Xing Yang & Xiaofan Yang & Yingbo Wu & Yuan Yan Tang, 2018. "A tradeoff between the losses caused by computer viruses and the risk of the manpower shortage," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-12, January.
    • Handle: RePEc:plo:pone00:0191101
    DOI: 10.1371/journal.pone.0191101
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    References listed on IDEAS

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    1. Jichao Bi & Xiaofan Yang & Yingbo Wu & Qingyu Xiong & Junhao Wen & Yuan Yan Tang, 2017. "On the Optimal Dynamic Control Strategy of Disruptive Computer Virus," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-14, March.
    2. Yang, Lu-Xing & Draief, Moez & Yang, Xiaofan, 2016. "The optimal dynamic immunization under a controlled heterogeneous node-based SIRS model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 403-415.
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