Enabling efficient and secure health data sharing for Healthcare IoT systems

Liehuang Zhu, Yumeng Xie, Yuao Zhou, Qing Fan*, Chuan Zhang, Ximeng Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

The Healthcare Internet of Things (HIoT) system enables remote monitor patient health state and feedback on medical treatments timely. The success of HIoT relies on how to share health data securely and efficiently. Existing solutions either fail to ensure the security or incur significant overheads. In this paper, we put forward an efficient and secure health data sharing scheme for HIoT systems, named ESDS, to solve this dilemma. In ESDS, we first signcrypt the health data collected by IoT devices to protect patient privacy and ensure data authenticity. Next, we aggregate N signatures for N pieces of different health data into a short signature, which significantly reduces storage space and transmission size, i.e., from O(N) to O(1). Then, we apply local verifiability to verify one piece of health data under the aggregated signature. With this property, a doctor only needs one auxiliary message generated by the patient to check the target message without obtaining whole health data, which improves system verification efficiency. Extensive security analysis and performance evaluation show that ESDS is secure and efficient.

Original languageEnglish
Pages (from-to)304-316
Number of pages13
JournalFuture Generation Computer Systems
Volume149
DOIs
Publication statusPublished - Dec 2023

Keywords

  • Authenticity
  • Data sharing
  • Healthcare IoT
  • Locally verifiable
  • Privacy-preserving
  • Signcryption

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