IF 0.7 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Advances in Mathematics of Communications Pub Date : 2023-01-01 DOI:10.3934/AMC.2021004
P. Sarkar, Subhadip Singha
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引用次数: 2

摘要

Regev(2005)引入了带误差学习(LWE)问题,并展示了从最坏情况晶格问题到LWE的量子化简。在Peikert(2009)工作的基础上,Brakerski等人(2013)获得了从间隙最短向量问题到LWE的经典化简。Chatterjee等人(2016)对Regev的减少进行了具体的安全性分析,发现了巨大的严密性差距。本文对Brakerski等人经典约简中的紧度间隙进行了具体分析。结果表明,Brakerski等经典约简中的密度间隙甚至大于Regev量子约简中的密度间隙。这使人们对实际密码系统的安全保证减少的含义产生了怀疑。
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Classical reduction of gap SVP to LWE: A concrete security analysis
Regev (2005) introduced the learning with errors (LWE) problem and showed a quantum reduction from a worst case lattice problem to LWE. Building on the work of Peikert (2009), a classical reduction from the gap shortest vector problem to LWE was obtained by Brakerski et al. (2013). A concrete security analysis of Regev's reduction by Chatterjee et al. (2016) identified a huge tightness gap. The present work performs a concrete analysis of the tightness gap in the classical reduction of Brakerski et al. It turns out that the tightness gap in the Brakerski et al. classical reduction is even larger than the tightness gap in the quantum reduction of Regev. This casts doubts on the implication of the reduction to security assurance of practical cryptosystems.
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来源期刊
Advances in Mathematics of Communications
Advances in Mathematics of Communications 工程技术-计算机:理论方法
CiteScore
2.20
自引率
22.20%
发文量
78
审稿时长
>12 weeks
期刊介绍: Advances in Mathematics of Communications (AMC) publishes original research papers of the highest quality in all areas of mathematics and computer science which are relevant to applications in communications technology. For this reason, submissions from many areas of mathematics are invited, provided these show a high level of originality, new techniques, an innovative approach, novel methodologies, or otherwise a high level of depth and sophistication. Any work that does not conform to these standards will be rejected. Areas covered include coding theory, cryptology, combinatorics, finite geometry, algebra and number theory, but are not restricted to these. This journal also aims to cover the algorithmic and computational aspects of these disciplines. Hence, all mathematics and computer science contributions of appropriate depth and relevance to the above mentioned applications in communications technology are welcome. More detailed indication of the journal''s scope is given by the subject interests of the members of the board of editors.
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