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Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems

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  • Song, Yunbo
  • Ye, Dan

Abstract

This article studies denial-of-service (DoS) attack energy allocation problem for remote state estimation in cyber-physical systems (CPSs). The attacker having the ability to harvest energy sabotages packet transmission from the sensor to the remote state estimator, and it can receive information about whether the packet has arrived at the destination through an erroneous feedback channel. Because of the uncertainty of energy collection and the limitation of battery storage, the adversary needs to tailor jamming power to maximize finite and infinite horizon average estimation error covariance on the remote estimator side, respectively. The energy allocation problem of imperfect feedback is transformed into Markov decision process (MDP) of perfect acknowledgments via the iteration of state information. Then we get the optimal DoS attack energy allocation strategy with imperfect acknowledgments and energy harvesting constraints. A myopic strategy for energy allocation and some structural results are also presented. Finally, the theoretical results are verified via a numerical example.

Suggested Citation

  • Song, Yunbo & Ye, Dan, 2021. "Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems," Applied Mathematics and Computation, Elsevier, vol. 393(C).
    • Handle: RePEc:eee:apmaco:v:393:y:2021:i:c:s0096300320307748
    DOI: 10.1016/j.amc.2020.125821
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    References listed on IDEAS

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    1. Liu, Cheng-Qian & Li, Xiao-Jian & Long, Yue & Sun, Jie, 2020. "Output feedback secure control for cyber-physical systems against sparse sensor attacks," Applied Mathematics and Computation, Elsevier, vol. 384(C).
    2. Huang, Xin & Dong, Jiuxiang, 2020. "A Robust Dynamic Compensation Approach for Cyber-Physical Systems Against Multiple Types of Actuator Attacks," Applied Mathematics and Computation, Elsevier, vol. 380(C).
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    Cited by:

    1. Zhu, Lin & Che, Wei-Wei & Jin, Xiao-Zheng, 2022. "Dynamic event-triggered tracking control for model-free networked control systems," Applied Mathematics and Computation, Elsevier, vol. 431(C).
    2. Ma, Yong-Sheng & Che, Wei-Wei & Deng, Chao, 2022. "Observer-Based fuzzy containment control for nonlinear networked mass under dos attacks," Applied Mathematics and Computation, Elsevier, vol. 421(C).

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