Paper 2026/412

VisualDedup: Visual Fuzzy Deduplication for Secure Batch Duplicates Detection without Server Aided

Zehui Tang

Song Han

Mingxing He

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.

@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}
}