Blockchain-Empowered Secure and Privacy-Preserving Health Data Sharing in Edge-Based IoMT

Nie, X; Zhang, A; Chen, J; Qu, Y; Yu, S

Blockchain-Empowered Secure and Privacy-Preserving Health Data Sharing in Edge-Based IoMT

Nie, X Zhang, A Chen, J Qu, Y Yu, S

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Publisher:: WILEY-HINDAWI
Publication Type:: Journal Article
Citation:: Security and Communication Networks, 2022, 2022
Issue Date:: 2022-01-01

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Field	Value	Language
dc.contributor.author	Nie, X
dc.contributor.author	Zhang, A
dc.contributor.author	Chen, J
dc.contributor.author	Qu, Y
dc.contributor.author	Yu, S https://orcid.org/0000-0003-4485-6743
dc.contributor.editor	Wang, D
dc.date.accessioned	2023-03-20T21:42:21Z
dc.date.available	2023-03-20T21:42:21Z
dc.date.issued	2022-01-01
dc.identifier.citation	Security and Communication Networks, 2022, 2022
dc.identifier.issn	1939-0114
dc.identifier.issn	1939-0122
dc.identifier.uri	http://hdl.handle.net/10453/167796
dc.description.abstract	Health data sharing, as a booming demand, enables the patients with similar symptoms to connect with each other and doctors to obtain the medical history of patients. Health data are usually collected from edge-based Internet of medical things (IoMT) with devices such as smart wearable devices, smart watches, and smartphones. Since health data are highly private and have great financial value, adversaries ceaselessly launch diverse attacks to obtain private information. All these issues pose great challenges to health data sharing in edge-based IoMT scenarios. Existing research either lacks comprehensive consideration of privacy and security protection or fails to provide a proper incentive mechanism, which expels users from sharing data. In this study, we propose a novel blockchain-assisted data sharing scheme, which allows secure and privacy-preserving profile matching. A bloom filter with hash functions is designed to verify the authenticity of keyword ciphertext. Key-policy attribute-based encryption (KP-ABE) algorithm and smart contracts are employed to achieve secure profile matching. To incentivize users actively participating in profile matching, we devise an incentive mechanism and construct a two-phase Stackelberg game to address pricing problems for data owners and accessing problems of data requesters. The optimal pricing mechanism is specially designed for encouraging more users to participate in health data sharing and maximizing users’ profit. Moreover, security analysis illustrates that the proposed protocol is capable of satisfying various security goals, while performance evaluation shows high scalability and feasibility of the proposed scheme in edge-based IoMT scenarios.
dc.language	English
dc.publisher	WILEY-HINDAWI
dc.relation.ispartof	Security and Communication Networks
dc.relation.isbasedon	10.1155/2022/8293716
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0802 Computation Theory and Mathematics, 0805 Distributed Computing, 0899 Other Information and Computing Sciences
dc.title	Blockchain-Empowered Secure and Privacy-Preserving Health Data Sharing in Edge-Based IoMT
dc.type	Journal Article
utslib.citation.volume	2022
utslib.for	0802 Computation Theory and Mathematics
utslib.for	0805 Distributed Computing
utslib.for	0899 Other Information and Computing Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-20T21:42:19Z
pubs.publication-status	Published
pubs.volume	2022

Abstract:

Health data sharing, as a booming demand, enables the patients with similar symptoms to connect with each other and doctors to obtain the medical history of patients. Health data are usually collected from edge-based Internet of medical things (IoMT) with devices such as smart wearable devices, smart watches, and smartphones. Since health data are highly private and have great financial value, adversaries ceaselessly launch diverse attacks to obtain private information. All these issues pose great challenges to health data sharing in edge-based IoMT scenarios. Existing research either lacks comprehensive consideration of privacy and security protection or fails to provide a proper incentive mechanism, which expels users from sharing data. In this study, we propose a novel blockchain-assisted data sharing scheme, which allows secure and privacy-preserving profile matching. A bloom filter with hash functions is designed to verify the authenticity of keyword ciphertext. Key-policy attribute-based encryption (KP-ABE) algorithm and smart contracts are employed to achieve secure profile matching. To incentivize users actively participating in profile matching, we devise an incentive mechanism and construct a two-phase Stackelberg game to address pricing problems for data owners and accessing problems of data requesters. The optimal pricing mechanism is specially designed for encouraging more users to participate in health data sharing and maximizing users’ profit. Moreover, security analysis illustrates that the proposed protocol is capable of satisfying various security goals, while performance evaluation shows high scalability and feasibility of the proposed scheme in edge-based IoMT scenarios.

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http://hdl.handle.net/10453/167796