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SSRN

Enabling Efficient and Secure Health Data Sharing for Healthcare Iot Systems

作     者:Zhu, Liehuang Xie, Yumeng Zhou, Yuao Fan, Qing Zhang, Chuan Liu, Ximeng 

作者机构:School of Cyberspace Science and Technology Beijing Institute of Technology Beijing100081 China College of Computer and Data Science Fuzhou University Fuzhou350108 China Fujian Provincial Key Laboratory of Information Security of Network Systems Fuzhou350108 China 

出 版 物:《SSRN》 

年 卷 期:2023年

核心收录:

主  题:Internet of things 

摘      要: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. © 2023, The Authors. All rights reserved.

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