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author:

Zhu, Liehuang (Zhu, Liehuang.) [1] | Xie, Yumeng (Xie, Yumeng.) [2] | Zhou, Yuao (Zhou, Yuao.) [3] | Fan, Qing (Fan, Qing.) [4] | Zhang, Chuan (Zhang, Chuan.) [5] | Liu, Ximeng (Liu, Ximeng.) [6] (Scholars:刘西蒙)

Indexed by:

EI Scopus SCIE

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.& COPY; 2023 Elsevier B.V. All rights reserved.

Keyword:

Authenticity Data sharing Healthcare IoT Locally verifiable Privacy-preserving Signcryption

Community:

  • [ 1 ] [Zhu, Liehuang]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 2 ] [Xie, Yumeng]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 3 ] [Zhou, Yuao]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 4 ] [Fan, Qing]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 5 ] [Zhang, Chuan]Beijing Inst Technol, Sch Cyberspace Sci & Technol, Beijing 100081, Peoples R China
  • [ 6 ] [Liu, Ximeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 7 ] [Liu, Ximeng]Fujian Prov Key Lab Informat Secur Network Syst, Fuzhou 350108, Peoples R China

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Source :

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

ISSN: 0167-739X

Year: 2023

Volume: 149

Page: 304-316

6 . 2

JCR@2023

6 . 2 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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