Paper Info
Title
Secure and fine-grained access control on e-healthcare records in mobile cloud computing.
Abstract
In the era of Internet of things, wearable devices can be used to monitor residents’ health and upload collected health data to cloud servers for sharing, which facilitates the development of e-healthcare record (EHR) systems. However, before finding wide applications, EHR systems have to tackle privacy and efficiency challenges. For one thing, the confidentiality of EHRs is one of most important issues concerned by patients. For another, wearable devices in mobile cloud computing are often resource-constrained to some extent. In this paper, we propose a fine-grained EHR access control scheme which is proven secure in the standard model under the decisional parallel bilinear Diffie–Hellman exponent assumption. In the proposed scheme, an EHR owner can generate offline ciphertexts before knowing EHR data and access policies, which performs a majority of computation tasks. Furthermore, the online phase can rapidly assemble the final ciphertexts when EHR data and access policies become known. Our EHR access control scheme allows access policies encoded in linear secret sharing schemes. Extensive performance comparisons and simulation results indicate that the proposed solution is very suitable for mobile cloud computing.
Year
DOI
Venue
2018
10.1016/j.future.2016.12.027
Future Generation Computer Systems
Keywords
Field
DocType
E-Healthcare records,Privacy,Access control,Attribute-based encryption,Online/offline encryption
Mobile cloud computing,Health care,Secret sharing,Confidentiality,Computer security,Computer science,Attribute-based encryption,Upload,Access control,Wearable technology,Distributed computing
Journal
Volume
Issue
ISSN
78
P3
0167-739X
Citations 
PageRank 
References 
17
0.65
34
Authors
4
Name
Order
Citations
PageRank
Yi Liu1522.16
Yinghui Zhang246828.80
jie ling3464.45
Zhusong Liu411010.10