IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v458y2023ics0096300323003983.html
   My bibliography  Save this article

Stability and consistency for networked multiagent systems with double-Layered game under multiple DoS attacks

Author

Listed:
  • Peng, Yan
  • Ge, Chao
  • Yang, Hongjiu
  • Wang, Hong

Abstract

In this paper, the stability and consistency are researched for networked multiagent system (NMAS) with double-layered game under multiple denial-of-service (DoS) attacks. Concretely, a cooperative game is applied to model the coordination among DoS attackers in the cyber-layer. Meanwhile, a choice scheme based on the Pareto front is introduced to obtain an optimum power distribution that the DoS attackers expect to be consistent. A Stackelberg game frame is developed to simulate the interactions among DoS attackers and agents. Sufficient conditions that can achieve stability and consistency for NMAS are proposed. Eventually, the significance of the scheme is verified through simulation outcomes.

Suggested Citation

  • Peng, Yan & Ge, Chao & Yang, Hongjiu & Wang, Hong, 2023. "Stability and consistency for networked multiagent systems with double-Layered game under multiple DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 458(C).
    • Handle: RePEc:eee:apmaco:v:458:y:2023:i:c:s0096300323003983
    DOI: 10.1016/j.amc.2023.128229
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300323003983
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2023.128229?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. Wang, Xianming & Shen, Mouquan, 2023. "Model free optimal control of unknown nonaffine nonlinear systems with input quantization and DoS attack," Applied Mathematics and Computation, Elsevier, vol. 448(C).
    2. Xu, Qiyi & Zhang, Ning & Qi, Wenhai, 2023. "Finite-time control for discrete-time nonlinear Markov switching LPV systems with DoS attacks," Applied Mathematics and Computation, Elsevier, vol. 443(C).
    3. Liu, Xingyue & Shi, Kaibo & Cheng, Jun & Wen, Shiping & Liu, Yajuan, 2023. "Adaptive memory-based event-triggering resilient LFC for power system under DoS attack," Applied Mathematics and Computation, Elsevier, vol. 451(C).
    4. Guo, Jin & Jia, Ruizhe & Su, Ruinan & Zhao, Yanlong & Song, Yong, 2023. "Identification of FIR systems with binary-valued observations against denial-of-service attacks," Applied Mathematics and Computation, Elsevier, vol. 450(C).
    Full references (including those not matched with items on IDEAS)

    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.

      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:458:y:2023:i:c:s0096300323003983. 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.