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A Lightweight and Privacy-Preserving Authentication Protocol for Healthcare in an IoT Environment

Author

Listed:
  • Qingyun Xie

    (Key Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China)

  • Zixuan Ding

    (Key Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China)

  • Qi Xie

    (Key Laboratory of Cryptography of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China)

Abstract

In Internet of Things (IoT)-based healthcare, sensor nodes are deployed to detect the patient’s physiological data in a wireless sensor network. In order to prevent unwarranted users from accessing the sensor network to obtain patients’ data, designing lightweight and privacy-preserving authentication protocols plays a crucial role. Many lightweight authentication protocols for IoT-based healthcare have been proposed in recent years, but most of them may suffer from one or more security problems. In particular, few protocols can resist sensor node-captured attacks and achieve n-factor secrecy, which leads to unauthorized personnel being able to access the patient’s physiological data and obtain patients’ privacy. Therefore, a lightweight and privacy-preserving authentication protocol for healthcare based on elliptic curve cryptography (ECC) and physical unclonable function (PUF) is proposed to surmount the above obstacles. We design a dynamic anonymity strategy to achieve users’ anonymity and unlinkability and use PUF to protect information stored in users’ devices and sensor nodes. In addition, higher security features such as three-factor secrecy, perfect forward secrecy, resistance to sensor node-captured attacks, and update asynchronous attacks are guaranteed. The proposed protocol is proven to be secure under the random oracle model and maintains lightweight computing efficiency.

Suggested Citation

  • Qingyun Xie & Zixuan Ding & Qi Xie, 2023. "A Lightweight and Privacy-Preserving Authentication Protocol for Healthcare in an IoT Environment," Mathematics, MDPI, vol. 11(18), pages 1-17, September.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:18:p:3857-:d:1236370
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    References listed on IDEAS

    as
    1. Chandrashekhar Meshram & Cheng-Chi Lee & Ismail Bahkali & Agbotiname Lucky Imoize, 2023. "An Efficient Fractional Chebyshev Chaotic Map-Based Three-Factor Session Initiation Protocol for the Human-Centered IoT Architecture," Mathematics, MDPI, vol. 11(9), pages 1-20, April.
    2. Jan Lansky & Amir Masoud Rahmani & Saqib Ali & Nasour Bagheri & Masoumeh Safkhani & Omed Hassan Ahmed & Mehdi Hosseinzadeh, 2021. "BCmECC: A Lightweight Blockchain-Based Authentication and Key Agreement Protocol for Internet of Things," Mathematics, MDPI, vol. 9(24), pages 1-17, December.
    3. Jian Zhong & Tao Zhao & Ling Xiong & Ruixing Lin & Zexin Wang, 2023. "An Anonymous Authentication Scheme Based on Chinese Residue Theorem in Wireless Body Area Networks," Mathematics, MDPI, vol. 11(13), pages 1-19, July.
    Full references (including those not matched with items on IDEAS)

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