Anonymous and Efficient (t, n)-Threshold Ownership Transfer for Cloud EMRs Auditing

IF 8 1区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS IEEE Transactions on Information Forensics and Security Pub Date : 2025-01-27 DOI:10.1109/TIFS.2025.3534563
Yamei Wang;Yuexin Zhang;Ayong Ye;Jian Shen;Derui Wang;Yang Xiang
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Abstract

In cloud Electronic Medical Records (EMRs), health-related private information such as genetics and diseases is contained. Thus, the secure ownership transfer protocol should protect users’ privacy. In certain scenarios, some users, including patients, doctors, medical and research institutions, may be offline. As a result, existing protocols cannot be directly employed. Motivated by these observations, in this paper we propose a secure and efficient ownership transfer for cloud EMRs auditing protocol. Specifically, our protocol allows the existence of offline users while ensuring users anonymity, it is achieved using different signature constructions. Additionally, a tracing mechanism is introduced to safeguard against malicious users. We rigorously prove the security of our protocol, comprehensively evaluate the performance of it, and compare our protocol with a few closely relevant protocols. According to the evaluations, our protocol significantly improves ownership transfer efficiency while achieving additional functionalities, including public verifiability, multi-ownership transferability, anonymity, and traceability.
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云emr审计的匿名高效(t, n)阈值所有权转移
在云电子医疗记录(emr)中,包含与健康有关的私人信息,如遗传和疾病。因此,安全所有权转移协议应该保护用户的隐私。在某些情况下,一些用户(包括患者、医生、医疗和研究机构)可能处于离线状态。因此,不能直接使用现有的协议。基于这些观察结果,本文提出了一种安全有效的云emr审计协议所有权转移方案。具体来说,我们的协议允许离线用户的存在,同时确保用户的匿名性,这是通过使用不同的签名结构来实现的。此外,还引入了跟踪机制来防范恶意用户。我们严格证明了协议的安全性,全面评估了协议的性能,并将我们的协议与几个密切相关的协议进行了比较。根据评估,我们的协议显著提高了所有权转移效率,同时实现了额外的功能,包括公共可验证性、多所有权可转移性、匿名性和可追溯性。
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来源期刊
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Information Forensics and Security 工程技术-工程:电子与电气
CiteScore
14.40
自引率
7.40%
发文量
234
审稿时长
6.5 months
期刊介绍: The IEEE Transactions on Information Forensics and Security covers the sciences, technologies, and applications relating to information forensics, information security, biometrics, surveillance and systems applications that incorporate these features
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