Abstract
With the advancement of smart healthcare, each medical institution stores huge amounts of users’ medical data in its cloud server for diagnosis and treatment. However, the traditional storage structure has obstacles to reasonable medical resources access and medical data circulation, such as data security, query privacy, and isolated data island problems. An intuitive solution is to store all the encrypted medical data in a central server. But this method absolutely depends on the central server, causing more performance disadvantages and privacy risks. Therefore, it is urgent to construct a secure and proper medical data retrieval scheme. Based on the existing data storage model, we build a multi-server search scheme to collaboratively perform diagnostic institution location, medical data search, and even cross-domain data search in this paper. The multi-server architecture solves problems of destructiveness and information over-centralization caused by the single server and enhances the reliability and practicality of the system. The utilization of hidden vector encryption, secret sharing, and secure multi-party computation realizes efficient search, identity privacy, search pattern security, and access pattern security. Security analysis demonstrates that identity privacy and query security are protected. Extensive experiments show that the scheme has better data search and data add efficiency through horizontal and vertical comparisons.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
