有限交换环上的低秩奇偶校验码

IF 0.6 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Hermann Tchatchiem Kamche, Hervé Talé Kalachi, Franck Rivel Kamwa Djomou, Emmanuel Fouotsa
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引用次数: 0

摘要

低阶奇偶校验(LRPC)码是一类阶元码,在网络编码和密码学中有着广泛的应用。最近,LRPC 码被扩展到伽罗瓦环,而伽罗瓦环是有限环的一种特殊情况。在本文中,我们首先定义了有限交换局部环(有限环的砖块)上的 LRPC 码,并提供了一种高效的解码器。我们改进了解码器失败概率的理论边界。然后,我们将工作扩展到任意有限交换环。通常使用某些条件来确保解码器的成功。在有限域上,这些条件之一是选择一个素数作为伽罗瓦域的扩展度。我们已经证明,无需伽罗瓦扩展度这一条件,也能构造 LRPC 码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Low-rank parity-check codes over finite commutative rings

Low-rank parity-check codes over finite commutative rings

Low-Rank Parity-Check (LRPC) codes are a class of rank metric codes that have many applications specifically in network coding and cryptography. Recently, LRPC codes have been extended to Galois rings which are a specific case of finite rings. In this paper, we first define LRPC codes over finite commutative local rings, which are bricks of finite rings, with an efficient decoder. We improve the theoretical bound of the failure probability of the decoder. Then, we extend the work to arbitrary finite commutative rings. Certain conditions are generally used to ensure the success of the decoder. Over finite fields, one of these conditions is to choose a prime number as the extension degree of the Galois field. We have shown that one can construct LRPC codes without this condition on the degree of Galois extension.

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来源期刊
Applicable Algebra in Engineering Communication and Computing
Applicable Algebra in Engineering Communication and Computing 工程技术-计算机:跨学科应用
CiteScore
2.90
自引率
14.30%
发文量
48
审稿时长
>12 weeks
期刊介绍: Algebra is a common language for many scientific domains. In developing this language mathematicians prove theorems and design methods which demonstrate the applicability of algebra. Using this language scientists in many fields find algebra indispensable to create methods, techniques and tools to solve their specific problems. Applicable Algebra in Engineering, Communication and Computing will publish mathematically rigorous, original research papers reporting on algebraic methods and techniques relevant to all domains concerned with computers, intelligent systems and communications. Its scope includes, but is not limited to, vision, robotics, system design, fault tolerance and dependability of systems, VLSI technology, signal processing, signal theory, coding, error control techniques, cryptography, protocol specification, networks, software engineering, arithmetics, algorithms, complexity, computer algebra, programming languages, logic and functional programming, algebraic specification, term rewriting systems, theorem proving, graphics, modeling, knowledge engineering, expert systems, and artificial intelligence methodology. Purely theoretical papers will not primarily be sought, but papers dealing with problems in such domains as commutative or non-commutative algebra, group theory, field theory, or real algebraic geometry, which are of interest for applications in the above mentioned fields are relevant for this journal. On the practical side, technology and know-how transfer papers from engineering which either stimulate or illustrate research in applicable algebra are within the scope of the journal.
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