Scalable Encrypted Deduplication Based on Location-Hiding Secret Sharing of Data Keys
Encrypted deduplication is attractive because it can provide high storage efficiency while protecting data privacy. Most existing schemes achieve encrypted deduplication against brute-force attacks (BFAs) based on server-aided encryption. Unfortunately, the centralized key server in server-aided encryption can potentially become a single point of failure. To this end, distributed server-aided encryption is presented, which splits a system-level master key into multiple shares and distributes them across several key servers. However, it is hard to improve security and scalability with this method simultaneously. <p xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">This paper presents a secure and scalable encrypted deduplication scheme ScalaDep. ScalaDep achieves a new design paradigm centered on location-hiding secret sharing of data keys. As the number of deployed key servers increases, the attack cost of adversaries increases while the number of requests handled by each key server decreases, enhancing both scalability and security. Furthermore, we propose a two-phase duplicate detection method for our paradigm, which utilizes short hashes and key identifiers to achieve secure duplicate detection against BFAs. Additionally, based on the allreduce algorithm, ScalaDep enables all key servers to collaboratively record the number of client requests and resist online BFAs by enforcing rate limiting. Security analysis and performance evaluation demonstrate the security and efficiency of ScalaDep.
Authors
- Chunfu Jia (ORCID: https://orcid.org/0000-0002-5588-9690)
- Guanxiong Ha (ORCID: https://orcid.org/0000-0002-1023-5036)
- Qiaowen Jia
- Yuchen Chen (ORCID: https://orcid.org/0009-0001-7046-0542)
- Keyan Chen (ORCID: https://orcid.org/0009-0005-8752-6332)
- Rongkun Wang
Institutions
- Tianjin University of Science and Technology (CN)
- Nankai University (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- IEEE Transactions on Computers
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1109/tc.2025.3603710
- Primary Topic
- Cryptography and Data Security
- Type
- article
- Field-Weighted Citation Impact
- 0.00