Towards Practical Oblivious Join
Zhao Chang, Dong Xie, Sheng Wang, Feifei Li
2022Year
20Citations
17Top-tier citations
Abstract
Many individuals and companies choose the public cloud as their data and IT infrastructure platform. But remote accesses over the data inevitably bring the issue of trust. Despite strong encryption schemes, adversaries can still learn sensitive information from encrypted data by observing data access patterns. Oblivious RAMs (ORAMs) are proposed to protect against access pattern attacks. However, directly deploying ORAM constructions in an encrypted database brings large computational overhead.
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Install the CLIlune papers get 00d04176-71e8-4759-99e5-bfc31bf7c87dCited by top-tier papers17
- Doquet: Differentially Oblivious Range and Join Queries with Private Data StructuresLina Qiu, Georgios Kellaris, Nikos Mamoulis, Kobbi Nissim et al.VLDB 2023 · 14 citations
- d-DSE: Distinct Dynamic Searchable Encryption Resisting Volume Leakage in Encrypted DatabasesDongli Liu, Wei Wang, Peng Xu, Laurence T. Yang et al.USENIX Security 2024 · 11 citations
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- Veil: A Storage and Communication Efficient Volume-Hiding AlgorithmShanshan Han, Vishal Chakraborty, Michael T. Goodrich, Sharad Mehrotra et al.SIGMOD 2024 · 7 citations
- Towards Practical Oblivious MapXinle Cao, Weiqi Feng, Jian Liu, Jinjin Zhou et al.VLDB 2025 · 4 citations
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