rORAM: Efficient Range ORAM with O(log2 N) Locality
Anrin Chakraborti, Adam J. Aviv, Seung Geol Choi, Travis Mayberry, Daniel S. Roche, Radu Sion
摘要
Oblivious RAM protocols (ORAMs) allow a client to access data from an untrusted storage device without revealing to that device any information about their access pattern. Typically this is accomplished through random shuffling of the data such that the storage device cannot determine where individual blocks are located, resulting in a highly randomized access pattern. Storage devices however, are typically optimized for sequential access. A large number of random disk seeks during standard ORAM operation induce a substantial overhead.
In this paper, we introduce rORAM, an ORAM specifically suited for accessing ranges of sequentially logical blocks while minimizing the number of random physical disk seeks. rORAM obtains significantly better asymptotic efficiency than prior designs (Asharov et al., ePrint 2017, Demertzis et al., CRYPTO 2018) reducing both the number of seeks and communication complexity by a multiplicative factor of O(log N ). An rORAM prototype is 30-50x times faster than Path ORAM for similar range-query workloads on local HDDs, 30x faster for local SSDs, and 10x faster for network block devices. rORAM's novel disk layout can also speed up standard ORAM constructions, e.g., resulting in a 2x faster Path ORAM variant. Importantly, experiments demonstrate suitability for real world applications -rORAM is up to 5x faster running a file server and up to 11x faster running a range-query intensive video server workloads compared to standard Path ORAM.
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引用它的顶会 Paper4
- Towards Practical Oblivious MapXinle Cao, Weiqi Feng, Jian Liu, Jinjin Zhou 等VLDB 2025 · 被引用 4 次
- Practical Federated Recommendation Model Learning Using ORAM with Controlled PrivacyJinyu Liu, Wenjie Xiong, G. Edward Suh, Kiwan MaengASPLOS 2025 · 被引用 2 次
- MACAO: A Maliciously-Secure and Client-Efficient Active ORAM FrameworkThang Hoang, Jorge Guajardo, Attila A. YavuzNDSS 2020
- V-ORAM: A Versatile and Adaptive ORAM Framework with Service Transformation for Dynamic WorkloadsBo Zhang, Helei Cui, Xingliang Yuan, Zhiwen Yu 等USENIX Security 2025
它引用的顶会 Paper5
- Scaling ORAM for Secure ComputationJack Doerner, Abhi ShelatCCS 2017 · 被引用 221 次
- TaoStore: Overcoming Asynchronicity in Oblivious Data StorageCetin Sahin, Victor Zakhary, Amr El Abbadi, Huijia Lin 等S&P 2016 · 被引用 98 次
- A Practical Oblivious Map Data Structure with Secure Deletion and History IndependenceDaniel S. Roche, Adam J. Aviv, Seung Geol ChoiS&P 2016 · 被引用 63 次
- IO-DSSE: Scaling Dynamic Searchable Encryption to Millions of Indexes By Improving LocalityIan Miers, Payman MohasselNDSS 2017 · 被引用 60 次
- Deterministic, Stash-Free Write-Only ORAMDaniel S. Roche, Adam J. Aviv, Seung Geol Choi, Travis MayberryCCS 2017 · 被引用 26 次
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