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author:

Zhang, J. (Zhang, J..) [1] | Yang, Y. (Yang, Y..) [2] | Liu, X. (Liu, X..) [3] | Ma, J. (Ma, J..) [4]

Indexed by:

Scopus

Abstract:

With the assistance of the Internet of Things, the fast developing Healthcare Internet of Things (H-IoT) has promoted the healthcare ecosystem into the era of Health 5.0 and enables many promising medical applications, such as remote healthcare that is crucial in pandemic (e.g., coronavirus disease 2019). Healthcare participants can make accurate diagnosis, treatment, and research based on the shared personal health records (PHRs) sensed from remote H-IoT devices. However, current H-IoT systems fall short of a secure and trustworthy PHR sharing service in remote healthcare, which is able to prevent user privacy leakage and PHR integrity violation together with high efficiency in key distribution alongside efficient data retrieval and fine-grained access control. In response, we present a blockchain-based hierarchical data sharing framework (BHDSF) to provide fine-grained access control and efficient retrieval over encrypted PHRs with low consumed hierarchical key distribution and key leakage resistance. Compared with the existing solutions, the BHDSF takes both untrusted cloud and malicious auditor into consideration simultaneously and achieves trustworthy PHR integrity auditing and metadata verification by leveraging the blockchain technique. Besides, the BHDSF enables efficiently aggregative authentication for the trustworthiness of source records from H-IoT devices, which is lacked in most of the existing data sharing frameworks. Finally, we demonstrate the feasibility of the BHDSF by conducting extensive empirical tests over a real-world dataset. © 2005-2012 IEEE.

Keyword:

Aggregative source authentication attribute-based encryption Healthcare Internet of Things (H-IoT) online/offline encryption outsourced decryption

Community:

  • [ 1 ] [Zhang, J.]Xidian University, School of Cyber Engineering, Xi'an, 710071, China
  • [ 2 ] [Yang, Y.]Inner Mongolia University of Science and Technology, School of Information Engineering, Baotou, 010021, China
  • [ 3 ] [Liu, X.]Fuzhou University, College of Computer and Big Data, Fuzhou, 350116, China
  • [ 4 ] [Liu, X.]Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, 710071, China
  • [ 5 ] [Ma, J.]Xidian University, School of Cyber Engineering, Xi'an, 710071, China

Reprint 's Address:

  • [Yang, Y.]Inner Mongolia University of Science and Technology, China

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Source :

IEEE Transactions on Industrial Informatics

ISSN: 1551-3203

Year: 2022

Issue: 10

Volume: 18

Page: 7139-7150

1 2 . 3

JCR@2022

1 1 . 7 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 66

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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