IDEAS home Printed from https://ideas.repec.org/a/hin/complx/6614941.html
   My bibliography  Save this article

Game-Based Trust in Complex Networks: Past, Present, and Future

Author

Listed:
  • Li Yi
  • Weidong Fang
  • Wuxiong Zhang
  • Weiwei Gao
  • Baoqing Li
  • Jianxin Li

Abstract

As an efficient approach, the trust policy is implemented to defend against insider attacks in complex networks. However, the imperfection of trust relationships directly hinders the effort to quantitatively calculate trust value, especially in choosing a cooperative partner. Fortunately, the game theory is gradually concerned with addressing the above issue to further enhance security. In this paper, the game theory and the trust policy are reviewed briefly. Then, the research roadmap on game-based trust in complex networks is discussed and analysed deeply. Furthermore, some research directions in the near future are given. It is worth mentioning that our contributions not only describe the evolution of the game-based trust clearly but also suggest the trust mechanism based on the bounded rational game more suitable to uncertain information.

Suggested Citation

  • Li Yi & Weidong Fang & Wuxiong Zhang & Weiwei Gao & Baoqing Li & Jianxin Li, 2021. "Game-Based Trust in Complex Networks: Past, Present, and Future," Complexity, Hindawi, vol. 2021, pages 1-7, February.
  • Handle: RePEc:hin:complx:6614941
    DOI: 10.1155/2021/6614941
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2021/6614941.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2021/6614941.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2021/6614941?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
    ---><---

    Citations

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


    Cited by:

    1. Sun, Ketian & Liu, Yang & Chen, Xiaojie & Szolnoki, Attila, 2022. "Evolution of trust in a hierarchical population with punishing investors," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:6614941. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.