![]() A high degree of patient privacy is guaranteed simultaneously simultaneously by exploiting multiauthority ABE. Different from previous works in secure data outsourcing, we focus on the multiple data owner scenario, and divide the users in the PHR system into multiple security domains that greatly reduces the key manage management ment complexit complexity y for owners and users. To achieve fine-grained and scalable data access control for PHRs, we leverage attribute-based encryption (ABE) techniques to encrypt each patient’s PHR file. In this paper, we propose a novel patient-centric framework and a suite of mechanisms for data access control to PHRs stored in semitrusted servers. Yet, issues such as risks of privacy exposure, scalability in key management, flexible access, and efficient user revocation, have remained the most important challenges toward achieving fine-grained, cryptographically enforced data access control. To assure the patients’ control over access to their own PHRs, it is a promising method to encrypt the PHRs before outsourcing. However, there have been wide privacy concerns as personal health information could be exposed to those third party servers and to unauthorized parties. Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Bas Attrib ute-Based ed Encryption Encryption Ming Li, Member , IEEE , Shucheng Yu, Member , IEEE , Yao Zheng, Student Member , IEEE , Kui Ren, Senior Member , IEEE , and Wenjing Lou, Senior Member , IEEE Abstract-Personal health record (PHR) is an emerging patient-centric model of health information exchange, which is often outsourced to be stored at a third party, such as cloud providers. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,
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