Accelerating Encrypted Deduplication via SGX


Yanjing Ren and Jingwei Li, University of Electronic Science and Technology of China; Zuoru Yang and Patrick P. C. Lee, The Chinese University of Hong Kong; Xiaosong Zhang, University of Electronic Science and Technology of China


Encrypted deduplication preserves the deduplication effectiveness on encrypted data and is attractive for outsourced storage. However, existing encrypted deduplication approaches build on expensive cryptographic primitives that incur substantial performance slowdown. We present SGXDedup, which leverages Intel SGX to speed up encrypted deduplication based on server-aided message-locked encryption (MLE), while preserving security via SGX. SGXDedup implements a suite of secure interfaces to execute MLE key generation and proof-of ownership operations in SGX enclaves. It also proposes various designs to support secure and efficient enclave operations. Evaluation on synthetic and real-world workloads shows that SGXDedup achieves significant speedups and maintains high bandwidth and storage savings.

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@inproceedings {273863,
author = {Yanjing Ren and Jingwei Li and Zuoru Yang and Patrick P. C. Lee and Xiaosong Zhang},
title = {Accelerating Encrypted Deduplication via {SGX}},
booktitle = {2021 USENIX Annual Technical Conference (USENIX ATC 21)},
year = {2021},
isbn = {978-1-939133-23-6},
pages = {957--971},
url = {},
publisher = {USENIX Association},
month = jul,

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