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On the Optimal Dynamic Control Strategy of Disruptive Computer Virus

Author

Listed:
  • Jichao Bi
  • Xiaofan Yang
  • Yingbo Wu
  • Qingyu Xiong
  • Junhao Wen
  • Yuan Yan Tang

Abstract

Disruptive computer viruses have inflicted huge economic losses. This paper addresses the development of a cost-effective dynamic control strategy of disruptive viruses. First, the development problem is modeled as an optimal control problem. Second, a criterion for the existence of an optimal control is given. Third, the optimality system is derived. Next, some examples of the optimal dynamic control strategy are presented. Finally, the performance of actual dynamic control strategies is evaluated.

Suggested Citation

  • 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.
    • Handle: RePEc:hin:jnddns:8390784
    DOI: 10.1155/2017/8390784
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    Cited by:

    1. Piqueira, José Roberto C. & Cabrera, Manuel A.M. & Batistela, Cristiane M., 2021. "Malware propagation in clustered computer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    2. 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.

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