Paper 2023/1085 Original: eprint.iacr.org/2023/1085 ↗
Fuzzy Deduplication Scheme Supporting Pre-verification of Label Consistency
Abstract
Efficiently and securely removing encrypted redundant data with cross-user in the cloud is challenging. Convergent Encryption (CE) is difficult to resist dictionary attacks for its deterministic tag. Server-aided mechanism is against such attacks while it may exist collusion. Focus on multimedia data, this paper proposes an efficient and secure fuzzy deduplication system without any additional servers. We also propose a notion of preverification of label consistency to compensate for the irreparable post-verification loss. Compared with other fuzzy deduplication schemes, our work has apparent advantages in deduplication efficiency and security based on a natural data set.
Metadata
- Available format(s)
PDF- Category
- Applications
- Publication info
- Preprint.
- History
- 2023-07-12: last updated
- 2023-07-12: published
- Short URL
- https://ia.cr/2023/1085
- License
- https://creativecommons.org/licenses/by-nc/4.0/
BibTeX
@misc{cryptoeprint:2023/1085,
author = {Zehui Tang and Shengke Zeng and Tao Li and Shuai Cheng and Haoyu Zheng},
title = {Fuzzy Deduplication Scheme Supporting Pre-verification of Label Consistency},
howpublished = {Cryptology {ePrint} Archive, Paper 2023/1085},
year = {2023},
url = {https://eprint.iacr.org/2023/1085}
}