Fine-Grained Access Control for Personal Health Records in Cloud Computing

Li, W; Ni, W; Liu, D; Liu, RP; Wang, P; Luo, S

Fine-Grained Access Control for Personal Health Records in Cloud Computing

Li, W Ni, W

Liu, D Liu, RP

Wang, P Luo, S

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2017, 2017-June
Issue Date:: 2017-11-14

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Field	Value	Language
dc.contributor.author	Li, W	en_US
dc.contributor.author	Ni, W https://orcid.org/0000-0002-4933-594X	en_US
dc.contributor.author	Liu, D	en_US
dc.contributor.author	Liu, RP https://orcid.org/0000-0001-7001-6305	en_US
dc.contributor.author	Wang, P	en_US
dc.contributor.author	Luo, S	en_US
dc.date.issued	2017-11-14	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2017, 2017-June	en_US
dc.identifier.isbn	9781509059324	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126000
dc.description.abstract	© 2017 IEEE. This paper presents a novel access control scheme for personal health record(PHR) data in cloud computing. The scheme utilizes attribute-based encryption(ABE), hash function and symmetric encryption to realize a fine-grained, multi- privilege access control to PHR. The patients can share their PHR with medical staff from various departments with different privileges securely. The experimental results show the efficiency of our scheme in terms of running-time, communication cost and storage overhead.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VTCSpring.2017.8108549	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Fine-Grained Access Control for Personal Health Records in Cloud Computing	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2017-June	en_US
utslib.for	0805 Distributed Computing	en_US
pubs.embargo.period	Not known	en_US
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 Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US
pubs.volume	2017-June	en_US

Abstract:

© 2017 IEEE. This paper presents a novel access control scheme for personal health record(PHR) data in cloud computing. The scheme utilizes attribute-based encryption(ABE), hash function and symmetric encryption to realize a fine-grained, multi- privilege access control to PHR. The patients can share their PHR with medical staff from various departments with different privileges securely. The experimental results show the efficiency of our scheme in terms of running-time, communication cost and storage overhead.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126000