除法代数的分数阶非范数元及其在带误差循环学习中的应用

IF 0.7 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Andrew Mendelsohn, Cong Ling
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引用次数: 0

摘要

给定一个分环域K $和有限伽罗瓦扩展L $,讨论了K $中不属于域范数映射N_{L/K}(L^\次)$象中的单位大小元素的构造。我们观察到Elia, Sethuraman和Kumar的构造扩展到所有整数环是主理想域的分环场,这是我们在其他文献中没有看到的事实。然后,我们证明了一些关于非范数元的引理,并将上述结果推广到适用于任意环切地场。在这两种情况下,我们给出了域塔和相应的非范数元素的例子。最后,我们将其应用于密码学,定义了带有误差的学习的一种新变体,定义了带有分数单位量级非范数元素的循环除法代数,并将这种代数中最大阶理想上定义的格问题简化为这种形式的LWE的搜索问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fractional non-norm elements for division algebras, and an application to Cyclic Learning with Errors
Given a cyclotomic field $ K $ and a finite Galois extension $ L $, we discuss the construction of unit-magnitude elements in $ K $ which are not in the image of the field norm map $ N_{L/K}(L^\times) $. We observe that the construction of Elia, Sethuraman, and Kumar extends to all cyclotomic fields whose rings of integers are a principal ideal domain, a fact we have not seen appear elsewhere in the literature. We then prove a number of lemmas concerning non-norm elements, and extend the above results to hold for arbitrary cyclotomic ground fields. We give examples of towers of fields and corresponding non-norm elements in both instances. Finally, we apply this to cryptography, defining a novel variant of Learning with Errors, defined over cyclic division algebras with fractional unit-magnitude non-norm elements, and reduce lattice problems defined over ideals in maximal orders in such algebras to the search problem for this form of LWE.
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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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