Secure Access for Healthcare Data in the Cloud Using Ciphertext-Policy Attribute-Based Encryption
Abstract
As more and more healthcare organizations adopt electronic health records (EHRs), the case for cloud data storage becomes compelling for deploying EHR systems: not only is it inexpensive but it also provides the flexible, wide-area mobile access increasingly needed in the modern world. However, before cloud-based EHR systems can become a reality, issues of data security, patient privacy, and overall performance must be addressed. As standard encryption (including symmetric key and public key) techniques for EHR encryption/decryption cause increased access control and performance overhead, this paper proposes the use of Ciphertext-Policy Attribute-Based Encryption (CPABE) to encrypt EHRs based on healthcare providers' attributes or credentials, to decrypt EHRs, they must possess the set of attributes needed for proper access. The design and usage of a cloud-based EHR system based on CP-ABE is motivated and presented, along with preliminary experiments to analyze the flexibility and scalability of the proposed approach.
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In previous studies, various secure EHR systems have been proposed.
“In previous studies, various secure EHR systems have been proposed [14,38,39].”
From Tamper-Resistant Mobile Health Using Blockchain Technology. (2017) · cites this paper as [38]
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Secure cloud-based EHR system using attribute-based cryptosystem and blockchain
Wang, H., & Song, Y. (2018) · Journal of Medical Systems · doi:10.1007/s10916-018-0994-6 · Cited by 409 · see citing works
Tamper-Resistant Mobile Health Using Blockchain Technology.
Ichikawa, D., Kashiyama, M., & Ueno, T. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7938 · Cited by 298 · see citing works
“In previous studies, various secure EHR systems have been proposed [14,38,39].”
Research issues for privacy and security of electronic health services
Yüksel, B., Küpçü, A., & Özkasap, Ö. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2016.08.011 · Cited by 147 · see citing works
Edge computing based secure health monitoring framework for electronic healthcare system
Singh, A., & Chatterjee, K. (2023) · Cluster Computing · doi:10.1007/s10586-022-03717-w · Cited by 69 · see citing works
- Authors
- Alshehri, S., Radziszowski, S. P., & Raj, R. K.
- Affiliations
- Rochester Institute of Technology (US)
- Venue
- 2012 IEEE 28th International Conference on Data Engineering Workshops
- Publisher
- IEEE
- Published
- 2012-04
- Pages
- 143-146
- OpenAlex
- W2114290352
- Cited by
- 98
- References
- 0
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 9 · 2023: 11 · 2022: 8 · 2021: 8 · 2020: 5 · 2019: 8 · 2018: 11 · 2017: 6 · 2016: 12 · 2015: 3 · 2014: 7 · 2013: 5
- FWCI
- 3.68
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Data Engineering Workshops (ICDEW) (publishedVersion)
- Funders
- Division of Electrical, Communications and Cyber Systems
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- ciphertext-policy attribute-based encryption, electronic health records, cloud storage, healthcare data security, access control, patient privacy, attribute-based encryption, scalability
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