Machine learning cryptography methods for IoT in healthcare.

Journal: BMC medical informatics and decision making
Published Date: Jun 4, 2024

Abstract

BACKGROUND: The increased application of Internet of Things (IoT) in healthcare, has fueled concerns regarding the security and privacy of patient data. Lightweight Cryptography (LWC) algorithms can be seen as a potential solution to address this concern. Due to the high variation of LWC, the primary objective of this study was to identify a suitable yet effective algorithm for securing sensitive patient information on IoT devices.

Authors

  • Tserendorj Chinbat
    Department of Computer Science and Software Engineering, Auckland University of Technology (AUT), 6 St. Paul Street, Auckland, 1010, New Zealand.
  • Samaneh Madanian
    Computer Science & Software Engineering, Auckland University of Technology, Auckland 1010, New Zealand.
  • David Airehrour
    Together Communications, 77 Cook Street, Auckland, 1010, New Zealand.
  • Farkhondeh Hassandoust
    Department of Information Systems and Operation Management, University of Auckland, Auckland CBD, 12 Grafton Road, Auckland, 1010, New Zealand.

Keywords

External Resources

Popular Topics
Recent Journals