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An Optimal Authentication Scheme through Dual Signature for the Internet of Medical Things

Author

Listed:
  • Zainab Jamroz

    (Department Computer Science and Information Technology, Hazara University, Mansehra 21300, Pakistan)

  • Insaf Ullah

    (Faculty of Engineering Sciences and Technology, Hamdard University, Islamabad 44000, Pakistan)

  • Bilal Hassan

    (Department Computer Science and Information Technology, Hazara University, Mansehra 21300, Pakistan)

  • Noor Ul Amin

    (Department Computer Science and Information Technology, Hazara University, Mansehra 21300, Pakistan)

  • Muhammad Asghar Khan

    (Faculty of Engineering Sciences and Technology, Hamdard University, Islamabad 44000, Pakistan)

  • Pascal Lorenz

    (Department of Network and Telecommunication, University of Haute Alsace, 68008 Colmar, France)

  • Nisreen Innab

    (Department of Computer Science and Information Systems, College of Applied Sciences, AlMaarefa University, P.O. Box 71666, Riyadh 11597, Saudi Arabia)

Abstract

The Internet of Medical Things (IoMT) overcomes the flaws in the traditional healthcare system by enabling remote administration, more effective use of resources, and the mobility of medical devices to fulfil the patient’s needs. The IoMT makes it simple to review the patient’s cloud-based medical history in addition to allowing the doctor to keep a close eye on the patient’s condition. However, any communication must be secure and dependable due to the private nature of patient medical records. In this paper, we proposed an authentication method for the IoMT based on hyperelliptic curves and featuring dual signatures. The decreased key size of hyperelliptic curves makes the proposed scheme efficient. Furthermore, security validation analysis is performed with the help of the formal verification tool called Scyther, which shows that the proposed scheme is secure against several types of attacks. A comparison of the proposed scheme’s computational and communication expenses with those of existing schemes reveals its efficiency.

Suggested Citation

  • Zainab Jamroz & Insaf Ullah & Bilal Hassan & Noor Ul Amin & Muhammad Asghar Khan & Pascal Lorenz & Nisreen Innab, 2023. "An Optimal Authentication Scheme through Dual Signature for the Internet of Medical Things," Future Internet, MDPI, vol. 15(8), pages 1-14, July.
    • Handle: RePEc:gam:jftint:v:15:y:2023:i:8:p:258-:d:1206815
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