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arXiv 2007.00826cs.CR
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数据中心中基于FPGA的秘密共享MPC

Secret Sharing MPC on FPGAs in the Datacenter

Pierre-Francois Wolfe, Rushi Patel, Robert Munafo, Mayank Varia, Martin Herbordt

摘要:

多方计算(MPC)是一种技术,使来自多个来源的数据能够用于安全计算,在保护原始数据的同时仅显示结果,促进共享利用不同实体收集的数据集。现场可编程门阵列(FPGA)硬件在嵌入式系统中的存在可以提供加速的计算以及低延迟、高带宽的通信,这增强了MPC的性能,并降低了将MPC用于许多应用的障碍。在这项工作中,我们提出了一个秘密共享的FPGA设计的基础上所描述的协议Araki等人。我们比较我们的硬件设计,原作者的秘密共享的软件实现和工作加速MPC协议的基础上乱码电路与FPGA。我们的结论是,在数据中心的秘密共享是有竞争力的,在FPGA硬件上实现时,能够使用至少10 $\times$比原来的工作使用CPU的计算机资源少。

英文摘要:

Multi-Party Computation (MPC) is a technique enabling data from several sources to be used in a secure computation revealing only the result while protecting the original data, facilitating shared utilization of data sets gathered by different entities. The presence of Field Programmable Gate Array (FPGA) hardware in datacenters can provide accelerated computing as well as low latency, high bandwidth communication that bolsters the performance of MPC and lowers the barrier to using MPC for many applications. In this work, we propose a Secret Sharing FPGA design based on the protocol described by Araki et al. We compare our hardware design to the original authors' software implementations of Secret Sharing and to work accelerating MPC protocols based on Garbled Circuits with FPGAs. Our conclusion is that Secret Sharing in the datacenter is competitive and when implemented on FPGA hardware was able to use at least 10$\times$ fewer computer resources than the original work using CPUs.

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