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An efficient PHR service system supporting fuzzy keyword search and fine-grained access control
Xhafa Xhafa, Fatos; Wang, Jianfeng; Chen, Xiaofeng; Liu, Joseph K.; Li, Jin; Krause, Paul
Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
Outsourcing of personal health record (PHR) has attracted considerable interest recently. It can not only bring much convenience to patients, it also allows efficient sharing of medical information among researchers. As the medical data in PHR is sensitive, it has to be encrypted before outsourcing. To achieve fine-grained access control over the encrypted PHR data becomes a challenging problem. In this paper, we provide an affirmative solution to this problem. We propose a novel PHR service system which supports efficient searching and fine-grained access control for PHR data in a hybrid cloud environment, where a private cloud is used to assist the user to interact with the public cloud for processing PHR data. In our proposed solution, we make use of attribute-based encryption (ABE) technique to obtain fine-grained access control for PHR data. In order to protect the privacy of PHR owners, our ABE is anonymous. That is, it can hide the access policy information in ciphertexts. Meanwhile, our solution can also allow efficient fuzzy search over PHR data, which can greatly improve the system usability. We also provide security analysis to show that the proposed solution is secure and privacy-preserving. The experimental results demonstrate the efficiency of the proposed scheme.
Peer Reviewed
-Àrees temàtiques de la UPC::Informàtica::Seguretat informàtica
-Fuzzy logic
-Cloud computing
-Data protection
-Personal health records
-Security
-Encrypted data
-Lògica difusa
-Computació en núvol
-Protecció de dades
Artículo - Versión presentada
Artículo
Springer
         

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