基于多元多项式的后量子领域识别方案及其在云和物联网中的应用

S. Akleylek, Meryem Soysaldı
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引用次数: 1

摘要

在这一章中,我们研究了有限域上基于多元多项式的辨识方法。我们提供了在有限域上构造基于多元多项式的识别方案结构所需的一些基本定义。然后,我们简要介绍了基于多元多项式的识别方案,并考虑了在不同平台上的应用。我们从零知识属性和3-pass、5-pass等通过次数的角度对其进行分析。在考虑文献中开放性问题的基础上,提出了一种新的基于多元二次多项式的辨识方案。然后,我们比较它们的效率。我们还讨论了量子安全识别方案的云、物联网和大数据应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification schemes in the post-quantum area based on multivariate polynomials with applications in cloud and IoT
In this chapter, we survey the identification schemes based on multivariate polynomials over a finite field. We provide some basic definitions needed to construct the structure of identification schemes based on multivariate polynomials over a finite field. Then, we provide a brief survey of identification schemes based on multivariate polynomials by considering applications in different platforms. We analyze them in view of the zero knowledge property and the number of passes such as 3-pass and 5-pass. By considering open problems in the literature, we propose a novel identification scheme based on multivariate quadratic polynomials. Then, we compare them in terms of efficiency. We also provide a discussion for cloud, IoT, and big data applications of quantum secure identification schemes.
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