全同态加密方案的加速技术

Cristian Lupascu, Mihai Togan, V. Patriciu
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引用次数: 3

摘要

众所周知,云计算为许多组织提供了节约成本和提高可用性的新机会。同态加密方案以解决隐私保护问题而闻名,但这些方案在执行时间上存在不足,因此使用不同的技术加速这些加密方案是广泛使用同态原语的下一步。主要贡献是使用多个GPU实现同态加密库,更准确地说,是对HElib库的改编。虽然HElib的其他单GPU加速确实存在,但提议的实现使用多个图形处理器单元来分配计算任务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acceleration Techniques for Fully-Homomorphic Encryption Schemes
It is known that cloud computing opened new opportunities for many organizations regarding the cost-savings and the availability rate. Homomorphic encryption schemes are well known for solving the privacy preserving issue, but these schemes bring deficiency in execution times, therefore accelerating these encryption schemes using different technologies is the next step towards the wide use of homomorphic primitives. The main contribution is an implementation of a homomorphic encryption library using multiple GPU's, more precisely an adaptation of the HElib library. While other single GPU accelerations of HElib do exist, the proposed implementation uses multiple graphic processors units to distribute computational tasks.
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