IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i4p3552-d1069377.html
   My bibliography  Save this article

Secure One-Way Hash Function Using Cellular Automata for IoT

Author

Listed:
  • Shyi-Tsong Wu

    (Department of Electronic Engineering, National Ilan University, Yilan City 260007, Taiwan)

  • Jieh-Ren Chang

    (Department of Electronic Engineering, National Ilan University, Yilan City 260007, Taiwan)

Abstract

In the era of the Internet of Things (IoT), security is a very important issue. Recently, some security studies have been proposed based on the applications of Cellular Automata (CA). These works have the simplicity and high speed computation of CA, and are suitable for the resource-constrained IoT. In this paper, we make use of CA and propose a sliding-window CA (SWCA)-based one-way hash function. The sliding-window captures input data randomly for operation and promotes the chaos of the hash function. The proposed one-way hash function possesses high sensitivity to the input data and the one-way feature. Its performance exhibits good collision resistance along with well cryptographic characteristics. For statistical analysis, the mean changed probability is close to 50%. It can resist differential attack under the NPCR and UACI values, which are at least 99% and 33%, respectively.

Suggested Citation

  • Shyi-Tsong Wu & Jieh-Ren Chang, 2023. "Secure One-Way Hash Function Using Cellular Automata for IoT," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3552-:d:1069377
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/4/3552/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/4/3552/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:15:y:2023:i:4:p:3552-:d:1069377. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.