论文标题
基于IT的第三代FHE和PSI的硬件加速度
Hardware Acceleration for Third-Generation FHE and PSI Based on It
论文作者
论文摘要
随着云服务的扩展，由于在计算过程中将未加密的数据暴露于服务器，因此对用户数据隐私的严重关注。正在调查各种安全性基础，以保留隐私，同时评估私人数据，包括完全同构加密（FHE），私人套件交叉点（PSI）等。但是，这些原语的过度处理时间阻碍了其实际应用。这项工作提出并实现了使用Amazon Web Services（AWS）云FPGA加速第三代的体系结构，标志着第三代FHE的第一个硬件加速解决方案。我们还基于第三代FHE引入了一种新颖的不平衡PSI协议，该协议针对拟议的硬件体系结构进行了优化。引入了几种算法 - 架构协调技术，以允许通信和计算成本独立于发件人的设置大小。测量结果表明，与针对第三代FHE和拟议的PSI的各种至关重要的子例程进行的软件实施相比，所提出的加速器可以提高$> 21 \ times $性能的改进。
With the expansion of cloud services, serious concerns about the privacy of users' data arise due to the exposure of the unencrypted data to the server during computation. Various security primitives are under investigation to preserve privacy while evaluating private data, including Fully Homomorphic Encryption (FHE), Private Set Intersection (PSI), and others. However, the prohibitive processing time of these primitives hinders their practical applications. This work proposes and implements an architecture for accelerating third-generation FHE with Amazon Web Services (AWS) cloud FPGAs, marking the first hardware acceleration solution for third-generation FHE. We also introduce a novel unbalanced PSI protocol based on third-generation FHE, optimized for the proposed hardware architecture. Several algorithm-architecture co-optimization techniques are introduced to allow the communication and computation costs to be independent of the Sender's set size. The measurement results show that the proposed accelerator achieves $>21\times$ performance improvement compared to a software implementation for various crucial subroutines of third-generation FHE and the proposed PSI.
