Journal
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
Volume 86, Issue -, Pages 1437-1455Publisher
ELSEVIER
DOI: 10.1016/j.future.2018.01.003
Keywords
Internet-of-things; Big data; Privacy-preserving; Cloud storage; Access control; Keyword match based policy update
Categories
Funding
- National Natural Science Foundation of China [61402112, 61672159, 61702105]
- Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) [MJUKF201734]
- Fujian Major Project of Regional Industry [2014H4015]
- Major Science and Technology Project of Fujian Province [2015H6013]
- Technology Innovation Platform Project of Fujian Province [2014H2005]
- Fujian Collaborative Innovation Center for Big Data Application in Governments, Fujian Engineering Research Center of Big Data Analysis and Processing
Ask authors/readers for more resources
In this paper, we propose a privacy-preserving e-health system, which is a fusion of Internet-of-things (IoT), big data and cloud storage. The medical IoT network monitors patient's physiological data, which are aggregated to electronic health record (EHR). The medical big data that contains a large amount of EHRs are outsourced to cloud platform. In the proposed system, the patient distributes an IoT group key to the medical nodes in an authenticated way without interaction round. The IoT messages are encrypted using the IoT group key and transmitted to the patient, which can be batch authenticated by the patient. The encrypted EHRs are shared among patient and different data users in a fine-grained access control manner. A novel keyword match based policy update mechanism is designed to enable flexible access policy updating without privacy leakage. Extensive comparison and simulation results demonstrate that the algorithms in the proposed system are efficient. Comprehensive analysis is provided to prove its security. (C) 2018 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available