DuetORAM: Two-Server Distributed ORAM with Constant Rounds and O(log N) Communication
Feng Li, Xiangfu Song, Yingying Li, Lisha Yao, Guomin Yang, Tianwei Zhang, Robert H. Deng
摘要
Distributed Oblivious RAM (DORAM) is a promising building block for privacy-preserving cloud databases and outsourced storage systems. However, existing two-server designs often rely on slow linear scans or heavy cryptographic primitives, making them struggle to balance efficiency and bandwidth, and thus hindering their practical deployment.
We present DuetORAM, a two-server DORAM that achieves constant-round access with O(log N) communication while avoiding these computational bottlenecks. Our key idea is a replicated-to-shared block encoding that allows servers to keep identical ciphertexts for efficient PIR-based retrieval, while locally interpreting them as secret shares to enable oblivious eviction via a lightweight shuffle. We further design a secret-shared shuffle with an offline-online decomposition that shifts most bandwidth-intensive work to a preprocessing phase, significantly reducing online communication. We implement a prototype of DuetORAM and evaluate it under diverse network conditions. Our results show that DuetORAM outperforms both the state-of-the-art two-server scheme DUORAM (reducing retrieval latency by up to 170× in LAN settings), and three-server design S 3 ORAM (reducing retrieval latency by 1.7× in LAN and accelerating eviction by 7× in LAN and 5× in WAN, respectively).
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它引用的顶会 Paper13
- Scaling ORAM for Secure ComputationJack Doerner, Abhi ShelatCCS 2017 · 被引用 221 次
- OptORAMa: Optimal Oblivious RAMGilad Asharov, Ilan Komargodski, Wei-Kai Lin, Kartik Nayak 等EUROCRYPT 2020 · 被引用 92 次
- S3ORAM: A Computation-Efficient and Constant Client Bandwidth Blowup ORAM with Shamir Secret SharingThang Hoang, Ceyhun D. Ozkaptan, Attila A. Yavuz, Jorge Guajardo 等CCS 2017 · 被引用 52 次
- GraphOS: Towards Oblivious Graph ProcessingJavad Ghareh Chamani, Ioannis Demertzis, Dimitrios Papadopoulos, Charalampos Papamanthou 等VLDB 2023 · 被引用 21 次
- MUSES: Efficient Multi-User Searchable Encrypted DatabaseTung Le, Rouzbeh Behnia, Jorge Guajardo, Thang HoangUSENIX Security 2024 · 被引用 11 次
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