IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-031-75329-9_3.html
   My bibliography  Save this book chapter

Enhancing Blockchain Consensus Mechanisms with Artificial Intelligence: Potential Improvements and Applications

In: Information Systems and Technological Advances for Sustainable Development

Author

Listed:
  • Soufiane El Hessaini

    (Ibn Tofail University)

  • Rihab Benaich

    (Ibn Tofail University)

  • Saida El Mendili

    (Ibn Tofail University)

  • Youssef Gahi

    (Ibn Tofail University)

Abstract

Consensus mechanisms are paramount in upholding trust, security and reliability in blockchain. Distributed ledger technologies act as the foundation for various applications across different industries. Despite their importance, these consensus mechanisms encounter obstacles such as scalability issues, energy inefficiency and susceptibility to cyber-attacks that restrict their acceptance and effectiveness. Innovative approaches like incorporating artificial intelligence (AI) have emerged as promising solutions to address these challenges and boost the efficiency and robustness of consensus mechanisms. This paper explores the role of consensus mechanisms in distributed systems, outlines the difficulties of traditional consensus methods and investigates the potential impact of integrating AI as a game-changing solution. Through a comprehensive review, we shed light on how AI can overcome the constraints of consensus mechanisms, opening entries for more effective, secure and scalable.

Suggested Citation

  • Soufiane El Hessaini & Rihab Benaich & Saida El Mendili & Youssef Gahi, 2024. "Enhancing Blockchain Consensus Mechanisms with Artificial Intelligence: Potential Improvements and Applications," Lecture Notes in Information Systems and Organization, in: Mohamed Ben Ahmed & Anouar Abdelhakim Boudhir & Hany Farhat Abd Elhamid Attia & Adriana Eštoková & M (ed.), Information Systems and Technological Advances for Sustainable Development, pages 15-29, Springer.
    • Handle: RePEc:spr:lnichp:978-3-031-75329-9_3
    DOI: 10.1007/978-3-031-75329-9_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnichp:978-3-031-75329-9_3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.