m^lus-plus">2-ABKS: Attribute-Based Multi-Keyword Search over Encrypted Personal Health Records in Multi-Owner Setting

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• 作者：Yinbin Miao ; Jianfeng Ma ; Ximeng Liu ; Fushan Wei ; Zhiquan Liu…
• 关键词：Personal health record ; Attribute ; based encryption ; Multi ; keyword ; Multi ; owner ; Chosen ; keyword attack
• 刊名：Journal of Medical Systems
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：40
• 期：11
• 全文大小：953 KB
• 刊物类别：Mathematics and Statistics
• 刊物主题：Statistics
  Statistics for Life Sciences, Medicine and Health Sciences
  Health Informatics and Administration
  
• 出版者：Springer Netherlands
• ISSN：1573-689X
• 卷排序：40

文摘

Online personal health record (PHR) is more inclined to shift data storage and search operations to cloud server so as to enjoy the elastic resources and lessen computational burden in cloud storage. As multiple patients’ data is always stored in the cloud server simultaneously, it is a challenge to guarantee the confidentiality of PHR data and allow data users to search encrypted data in an efficient and privacy-preserving way. To this end, we design a secure cryptographic primitive called as attribute-based multi-keyword search over encrypted personal health records in multi-owner setting to support both fine-grained access control and multi-keyword search via Ciphertext-Policy Attribute-Based Encryption. Formal security analysis proves our scheme is selectively secure against chosen-keyword attack. As a further contribution, we conduct empirical experiments over real-world dataset to show its feasibility and practicality in a broad range of actual scenarios without incurring additional computational burden.