Combinatorial Designs for Authentication and Secrecy Codes

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Michael Huber
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引用次数: 15

Abstract

Combinatorial design theory is a very active area of mathematical research, with many applications in communications and information theory, computer science, statistics, engineering, and life sciences. As one of the fundamental discrete structures, combinatorial designs are used in fields as diverse as error-correcting codes, statistical design of experiments, cryptography and information security, mobile and wireless communications, group testing algorithms in DNA screening, software and hardware testing, and interconnection networks. This monograph provides a tutorial on combinatorial designs, which gives an overview of the theory. Furthermore, the application of combinatorial designs to authentication and secrecy codes is described in depth. This close relationship of designs with cryptography and information security was first revealed in Shannon's seminal paper on secrecy systems. We bring together in one source foundational and current contributions concerning design-theoretic constructions and characterizations of authentication and secrecy codes.
认证码与保密码的组合设计
组合设计理论是一个非常活跃的数学研究领域,在通信和信息理论、计算机科学、统计学、工程和生命科学中有许多应用。组合设计作为一种基本的离散结构,被广泛应用于纠错码、实验统计设计、密码学和信息安全、移动和无线通信、DNA筛选中的组测试算法、软件和硬件测试以及互联网络等领域。这本专著提供了一个关于组合设计的教程,它给出了理论的概述。此外,还对组合设计在认证码和保密码中的应用进行了深入的描述。设计与密码学和信息安全的密切关系在香农关于保密系统的开创性论文中首次揭示。我们汇集在一个来源的基础和当前的贡献有关设计理论的结构和特征的认证和保密代码。
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来源期刊
Foundations and Trends in Communications and Information Theory
Foundations and Trends in Communications and Information Theory COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.90
自引率
0.00%
发文量
6
期刊介绍: Foundations and Trends® in Communications and Information Theory publishes survey and tutorial articles in the following topics: - Coded modulation - Coding theory and practice - Communication complexity - Communication system design - Cryptology and data security - Data compression - Data networks - Demodulation and Equalization - Denoising - Detection and estimation - Information theory and statistics - Information theory and computer science - Joint source/channel coding - Modulation and signal design - Multiuser detection - Multiuser information theory
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