CSHER: A System for Compact Storage with HE-Retrieval
Adi Akavia, Neta Oren, Boaz Sapir, Margarita Vald
摘要
Homomorphic encryption (HE) is a promising technology for protecting data in use, with considerable progress in recent years towards attaining practical runtime performance. However, the high storage overhead associated with HE remains an obstacle to its large-scale adoption. In this work we propose a new storage solution in the two-server model resolving the high storage overhead associated with HE, while preserving rigorous data confidentiality. We empirically evaluated our solution in a proof-of-concept system running on AWS EC2 instances with AWS S3 storage, demonstrating storage size with zero overhead over storing AES ciphertexts, and 10µs amortized end-to-end runtime. In addition, we performed experiments on multiple clouds, i.e., where each server resides on a different cloud, exhibiting similar results. As a central tool we introduce the first perfect secret sharing scheme with fast homomorphic reconstruction over the reals; this may be of independent interest.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper7
- Oblivious Neural Network Predictions via MiniONN TransformationsJian Liu, Mika Juuti, Yao Lu, N. AsokanCCS 2017 · 被引用 800 次
- Secure Outsourced Matrix Computation and Application to Neural NetworksXiaoqian Jiang, Miran Kim, Kristin E. Lauter, Yongsoo SongCCS 2018 · 被引用 359 次
- HEAX: An Architecture for Computing on Encrypted DataM. Sadegh Riazi, Kim Laine, Blake Pelton, Wei DaiASPLOS 2020 · 被引用 244 次
- PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic EncryptionWen-jie Lu, Zhicong Huang, Cheng Hong, Yiping Ma 等S&P 2021 · 被引用 139 次
- High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance MinimizationYongwoo Lee, Joon-Woo Lee, Young-Sik Kim, Yongjune Kim 等EUROCRYPT 2022 · 被引用 67 次
相关 Paper
- Efficient Confidentiality-Preserving Data Analytics over Symmetrically Encrypted DatasetsSavvas Savvides, Darshika Khandelwal, Patrick EugsterVLDB 2020 · 被引用 38 次
- SHARP: A Short-Word Hierarchical Accelerator for Robust and Practical Fully Homomorphic EncryptionJongmin Kim, Sangpyo Kim, Jaewan Choi, Jaiyoung Park 等ISCA 2023 · 被引用 110 次
- NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query EngineBoram Jung, Hung-Wei Tseng, Yuliang LiSIGMOD 2026 · 被引用 2 次
- ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key ReuseJongmin Kim, Gwangho Lee, Sangpyo Kim, Gina Sohn 等MICRO 2022 · 被引用 160 次
- Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network InferenceHao Chen, Wei Dai, Miran Kim, Yongsoo SongCCS 2019 · 被引用 235 次
