IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v393y2021ics0096300320307748.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300320307748
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2020.125821?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Su, Qingyu & Wang, Handong & Sun, Chaowei & Li, Bo & Li, Jian, 2022. "Cyber-attacks against cyber-physical power systems security: State estimation, attacks reconstruction and defense strategy," Applied Mathematics and Computation, Elsevier, vol. 413(C).
    2. Li, Lei & Wang, Wenting & Ma, Qiang & Pan, Kunpeng & Liu, Xin & Lin, Lin & Li, Jian, 2021. "Cyber attack estimation and detection for cyber-physical power systems," Applied Mathematics and Computation, Elsevier, vol. 400(C).
    3. Gao, Rui & Yang, Guang-Hong, 2022. "Sampled-data distributed state estimation with multiple transmission channels under denial-of-service attacks," Applied Mathematics and Computation, Elsevier, vol. 429(C).
    4. Lü, Shao-Yu & Jin, Xiao-Zheng & Wang, Hai & Deng, Chao, 2021. "Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    5. Oliveira, Pedro M. & Palma, Jonathan M. & Lacerda, Márcio J., 2022. "H2 state-feedback control for discrete-time cyber-physical uncertain systems under DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 425(C).
    6. Sun, Haibin & Cui, Yahui & Hou, Linlin & Shi, Kaibo, 2022. "Adaptive finite-time control for cyber-physical systems with injection and deception attacks," Applied Mathematics and Computation, Elsevier, vol. 430(C).
    7. Hou, Linlin & Li, Yao & Luo, Wende & Sun, Haibin, 2022. "Adaptive tracking control of switched cyber-physical systems with cyberattacks," Applied Mathematics and Computation, Elsevier, vol. 415(C).
    8. Dai, Shifang & Zha, Lijuan & Liu, Jinliang & Xie, Xiangpeng & Tian, Engang, 2022. "Fault detection filter design for networked systems with cyber attacks," Applied Mathematics and Computation, Elsevier, vol. 412(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:393:y:2021:i:c:s0096300320307748. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.