量子弹性云使用获取数据隐私的实用方法

Linus Töbke, Olaf Grote, A. Ahrens
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引用次数: 0

摘要

云计算已经成为一种极具吸引力且发展最快的技术。云模型包含高度可扩展的基础设施环境,并保证数据驱动的业务案例的日常业务流程受到量子脆弱加密技术的保护,并且不保留数据隐私。本文提出了一种实用的量子安全方法,即使量子计算机可以破解经典的公钥交换算法,也可以保证数据隐私。我们提出了一种基于后量子加密和通过同态加密和安全多方计算的以隐私为中心的应用的量子安全云使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Practical Approach to Quantum Resilient Cloud Usage Obtaining Data Privacy
Cloud computing has emerged as an attractive and fastest-growing technology. The Cloud model encompasses a highly scalable infrastructure environment and guarantees the daily business processes for data-driven business cases protected by quantum vulnerable cryptography and no preserving of data privacy. This paper proposes a practical quantum-safe approach to guarantee data privacy even if a quantum computer can break classical public-key exchange algorithms. We present a quantum-safe cloud use based on post-quantum cryptographic and privacy-focused applications via homomorphic encryption and secure multiparty computation.
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