Paper 2026/412
VisualDedup: Visual Fuzzy Deduplication for Secure Batch Duplicates Detection without Server Aided
Abstract
Deduplication of encrypted data is a feasible way to optimize cloud storage against cloud curious. However, encrypted data is prone to incurring the attention for its chaotic form. In this work, we focus on the improvement of security and efficiency of deduplication technology. We introduce a notion of Visual Fuzzy Deduplication to hide the sensitive multi-media data (i.e., images) to retain only one copy of cloud storage. Moreover, our deduplication realizes batch detection for duplicates and Brute Force Attacks (BFA) resistance without server aided. We simulate our experiments on three datasets to achieve the desired results, which shows our scheme is practical and efficient to optimize privacy-preserving cloud storage.
Metadata
- Available format(s)
-
PDF
- Category
- Applications
- Publication info
- Preprint.
- Keywords
- Storage OptimizationFuzzy DeduplicationBrute-force Guessing AttacksPrivacy
- Contact author(s)
-
zengsk @ mail xhu edu cn
zehuitang @ nuaa edu cn - History
- 2026-03-02: approved
- 2026-02-28: received
- See all versions
- Short URL
- https://ia.cr/2026/412
- License
-
CC BY
BibTeX
@misc{cryptoeprint:2026/412,
author = {Shengke Zeng and Zehui Tang and Song Han and Mingxing He},
title = {{VisualDedup}: Visual Fuzzy Deduplication for Secure Batch Duplicates Detection without Server Aided},
howpublished = {Cryptology {ePrint} Archive, Paper 2026/412},
year = {2026},
url = {https://eprint.iacr.org/2026/412}
}
