IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-96-9697-0_14.html
   My bibliography  Save this book chapter

Hash Chain Based Secure Communication for Internet of Things: Architecture and Schemes

Author

Listed:
  • Jinquan Li

    (Beijing Information Science and Technology University)

  • Wenbao Jiang

    (Beijing Information Science and Technology University)

  • Haibao Zhang

    (Beijing Information Science and Technology University)

Abstract

In the era of the Internet of Things (IoT), the interconnection of physical information systems with the Internet is transforming various domains such as logistics, manufacturing, connected vehicles, and smart cities. Due to the proliferation of IoT devices, securing their communication becomes critical. IoT device communications are usually not authenticated or encrypted, and traditional authentication schemes based on asymmetric/symmetric cryptographic systems cannot cope with the unique challenges posed by IoT, such as resource constraints, large scale, scalability, and decentralized trust requirements. This research designs a novel IoT device authentication framework based on lightweight cryptography techniques. Firstly, we propose AMA, a lightweight anonymous authentication scheme for IoT. Then a reliable and scalable authentication scheme HBMA is provided by exploiting the immutability of hash chains. The lightweight cryptography technique ensures that the computational overhead is minimized for resource constrained IoT devices. The study also concludes with a detailed analysis of the security features of the proposed framework and summarizes future research directions. The experimental results demonstrate the feasibility and efficiency of the proposed scheme for the IoT ecosystem, paving the way for more secure and reliable IoT applications.

Suggested Citation

  • Jinquan Li & Wenbao Jiang & Haibao Zhang, 2025. "Hash Chain Based Secure Communication for Internet of Things: Architecture and Schemes," Lecture Notes in Operations Research,, Springer.
  • Handle: RePEc:spr:lnopch:978-981-96-9697-0_14
    DOI: 10.1007/978-981-96-9697-0_14
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:lnopch:978-981-96-9697-0_14. 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.