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Defending a parallel system against a strategic attacker with redundancy, protection and disinformation

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  • Peng, Rui
  • Xiao, Hui
  • Guo, Jianjun
  • Lin, Chen

Abstract

Motivated by the defense of a power grid control center against cyber-attacks, this research considers the optimal allocation of defense resources for defending a parallel system consisting of identical elements. To enhance the system survivability, the defender distributes its limited resources to provide redundancy, disinform the attacker, and protect system elements. Correspondingly, the attacker allocates its limited resources to intelligence actions and impact contests. The defender determines the optimal number of genuine elements and false elements to deploy and the optimal amount of resources used for disinformation actions. The attacker seeks to maximize the system damage by taking the defender's strategy as given and allocating its resources optimally into intelligence actions and impact contests. Two types of parallel systems are considered: (1) where the system damage is defined as the probability of system failure, and (2) where the system damage is defined as the unsupplied demand of the system. Due to the complexity of the optimization model, we analyze the optimal defense strategy under various parameter settings via numerical methods. The results provide useful insights on how to defend such a system under different situations.

Suggested Citation

  • Peng, Rui & Xiao, Hui & Guo, Jianjun & Lin, Chen, 2020. "Defending a parallel system against a strategic attacker with redundancy, protection and disinformation," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832018314686
    DOI: 10.1016/j.ress.2019.106651
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    References listed on IDEAS

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    Cited by:

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    5. Qiu, Qingan & Kou, Meng & Chen, Ke & Deng, Qiao & Kang, Fengming & Lin, Cong, 2021. "Optimal stopping problems for mission oriented systems considering time redundancy," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    6. Wu, Di & Yan, Xiangbin & Peng, Rui & Wu, Shaomin, 2020. "Risk-attitude-based defense strategy considering proactive strike, preventive strike and imperfect false targets," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    7. Zhang, Jing & Wang, Yan & Zhuang, Jun, 2021. "Modeling multi-target defender-attacker games with quantal response attack strategies," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    8. Lin, Chen & Xiao, Hui & Peng, Rui & Xiang, Yisha, 2021. "Optimal defense-attack strategies between M defenders and N attackers: A method based on cumulative prospect theory," Reliability Engineering and System Safety, Elsevier, vol. 210(C).

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