Private-Set-Intersection-Based Medical Data Sharing Scheme With Integrity Auditing for IoMT Cloud Storage Systems
In recent years, the medical industry is generating a large amount of data. How to securely store and reliably share these medical data has been a hot research topic. Cloud storage technology can be applied to the medical industry to adapt to the rapid growth of medical data. However, cloud-based data storage and sharing systems face a series of security issues: whether the integrity of outsourced medical data can be guaranteed, and malicious access between different medical institutions may leak user's privacy. This article proposes a system that simultaneously solves the integrity auditing of medical data and securely data sharing between different medical institutions under the terminal-edge-cloud framework. Specifically, patients/doctors are treated as terminal users, medical institutions are viewed as edge nodes, and medical clouds form the central storage layer. In the process of data auditing, third-party auditor can achieve integrity auditing of medical cloud storage data. Moreover, different medical institutions use private-set-intersection technology to share the common user's electronic medical data, while for other users not in intersection set, their data does not need to be shared. Finally, security and performance analyses show that our proposed system is provable secure and has high computational and communication efficiency.
Authors
- Kaijing Ling
- Yifan Dong (ORCID: https://orcid.org/0000-0002-3155-6437)
- Jinyong Chang (ORCID: https://orcid.org/0000-0002-6569-5152)
- Bei Liang (ORCID: https://orcid.org/0000-0002-8622-8596)
- Yanyan Ji (ORCID: https://orcid.org/0000-0003-0559-0700)
- Zekun Li (ORCID: https://orcid.org/0009-0000-7124-4334)
- Maozhi Xu
Institutions
- Changzhi University (CN)
- Xi'an University of Architecture and Technology (CN)
- Peking University (CN)
- Institute of Mathematical Sciences (ES)
Publication Details
- Journal
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1109/tkde.2025.3619426
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00