Towards Practical Oblivious Join
Zhao Chang, Dong Xie, Sheng Wang, Feifei Li
2022年份
20被引次数
17顶会引用
摘要
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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引用它的顶会 Paper17
- Doquet: Differentially Oblivious Range and Join Queries with Private Data StructuresLina Qiu, Georgios Kellaris, Nikos Mamoulis, Kobbi Nissim 等VLDB 2023 · 被引用 14 次
- d-DSE: Distinct Dynamic Searchable Encryption Resisting Volume Leakage in Encrypted DatabasesDongli Liu, Wei Wang, Peng Xu, Laurence T. Yang 等USENIX Security 2024 · 被引用 11 次
- Bulkor: Enabling Bulk Loading for Path ORAMXiang Li, Yunqian Luo, Mingyu GaoS&P 2024 · 被引用 8 次
- Veil: A Storage and Communication Efficient Volume-Hiding AlgorithmShanshan Han, Vishal Chakraborty, Michael T. Goodrich, Sharad Mehrotra 等SIGMOD 2024 · 被引用 7 次
- Towards Practical Oblivious MapXinle Cao, Weiqi Feng, Jian Liu, Jinjin Zhou 等VLDB 2025 · 被引用 4 次
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