Cloud Data Sharing System With Enhanced Effectiveness for Flexible User Revocation
Attribute revocation is a secure data-sharing system that allows user revocation of shared data. The most effective attribute revocation scheme is still less effective in the revocation process. When revoking a user's access rights to a specified ciphertext, both that ciphertext and the keys of all other users must be updated. Similarly, when revoking a user from accessing all ciphertexts, all ciphertexts related to the revoked user and the keys of all non-revoked users must be updated, with computational cost linear to the number of attributes associated with the revoked user. In this work, to enhance the effectiveness of revocation, we design a cloud data-sharing system that supports flexible revocation. By introducing edge-server-assisted key puncturing techniques, our approach eliminates the need to update ciphertext and other users' keys when revoking a user's access rights to a specific ciphertext. Additionally, we leverage key splitting technology to divide data users' permissions between the data owner and the authority, ensuring that the update overhead for non-revoked users remains constant when revoking a user's access to all ciphertexts. On resource-constrained devices, when involving 50 attributes, non-revoked users only need approximately 0.02 milliseconds to update their keys, resulting in a 25x improvement in update speed.
Authors
- Debiao He (ORCID: https://orcid.org/0000-0002-2446-7436)
- Chengjie Gu (ORCID: https://orcid.org/0009-0001-6597-168X)
- Jie Cui (ORCID: https://orcid.org/0000-0001-7258-3418)
- Bei Li (ORCID: https://orcid.org/0000-0002-9555-4545)
- Hong Zhong
Institutions
- Anhui University (CN)
- Anhui University of Science and Technology (CN)
- Wuhan University (CN)
Publication Details
- Journal
- IEEE Transactions on Dependable and Secure Computing
- Published
- 2025-09-16
- DOI
- https://doi.org/10.1109/tdsc.2025.3609909
- Primary Topic
- IoT and Edge/Fog Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00