BMSE:Blockchain-based multi-keyword searchable encryption for electronic medical records
Apr 8, 2024·
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0 min read
沈凡凡
Lin Shi
Jun Zhang
Chao Xu
Yong Chen
Yanxiang He
Abstract
The storage of electronic medical records (EMRs) is an area of extensive research, and healthcare systems often delegate this task to cloud service providers (CSP). Typically, CSP transmits the encrypted EMRs to a cloud server with a searchable encryption scheme for easy retrieval. However, the enormous power held by centralized CSP poses a potential threat to patients’ personal privacy, as it can lead to unauthorized access and misuse of medical data by both CSP and data users, such as doctors. This paper proposes a blockchain-based multi-keyword searchable encryption (BMSE) electronic medical record solution. The scheme consists of two parts. On the one hand, our solution involves the integration of blockchain technology and the utilization of advanced encryption standard (AES) for symmetric data encryption. Additionally, we employ attribute-based encryption (ABE) to encrypt the search index. This approach aims to address the issue of excessive power held by centralized CSP, which can potentially result in the compromise of patients’ privacy. On the other hand, we use the K-means algorithm to cluster the documents, and use the relevance score of keywords and documents as the search index to solve the problem of low efficiency of the existing multi-keyword searchable encryption schemes. Finally, we verify the safety of BMSE through safety analysis, and the experimental analysis shows that BMSE improves the search efficiency.
Type
Publication
Computer Standards & Interfaces,Volume 89,2024,103824

Authors
博士,副教授,硕士生导师
沈凡凡,男,博士,副教授,硕士研究生导师,润泽学者,中国计算机学会高级会员,毕业于武汉大学计算机软件与理论专业。现为国际标准化组织ISO/TC295“审计数据采集标准”中国专家组成员,CCF信息存储技术专业委员会执行委员,CCF嵌入式系统专业委员会执行委员,CCF体系结构专业委员会委员,江苏省计算机学会计算机系统结构专业委员会委员、江苏省计算机学会计算机应用专业委员会委员。主持国家自然科学基金1项,省部级课题3项,参与国家自然科学基金、省部级项目多项。在《计算机学报》、《软件学报》、《计算机研究与发展》、《电子学报》、TC、CN、TJSC、Cluster、CJE等国内外重要学术刊物上发表论文20余篇。
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