Cryptanalysis of KSAm-like Algorithms

IF 2.6 3区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Systems Science & Complexity Pub Date : 2008-11-08 DOI:10.1109/CANS.2008.24
Bogdan Crainicu, B. Iantovics
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引用次数: 2

Abstract

RC4 is one of the most widely used stream cipher. It is fairly simple and efficient, and is used, among other things, in WEP, TKIP and SSL/TLS protocols. Fluhrer, Mantin and Shamir show that RC4 is completely insecure in the WEP mode of operation, and most of the discovered weaknesses are related to the key-scheduling algorithm (KSA) part of RC4. Crainicu and Boian propose a new variant of key-scheduling algoritm, called KSAm, whose primary goal is to address the Fluhrer-Mantin-Shamir (FMS) weakness of WEP-like cryptosystems, where IV (initialization vector) precedes the secret key. Cryptanalysis of KSAm reveals that the FMS IV weakness is removed by destroying the FMS resolved condition. This paper summarizes the previous security analyses of KSAm, examines KSAm in the WEP mode of operation, where IV follows the secret key, and discusses new security aspects like the effect of other FMS weak keys and Roos weak keys on KSAm and the randomness of the state tablepsila first entries after KSAm completion.
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类ksam算法的密码分析
RC4是应用最广泛的流密码之一。它相当简单和有效,并且在WEP、TKIP和SSL/TLS协议中使用。Fluhrer、Mantin和Shamir表明,在WEP操作模式下,RC4是完全不安全的,大多数发现的漏洞都与RC4的密钥调度算法(KSA)部分有关。Crainicu和Boian提出了一种新的密钥调度算法,称为KSAm,其主要目标是解决类wep密码系统的fluhler - mantin - shamir (FMS)弱点,其中IV(初始化向量)位于密钥之前。对KSAm的密码分析表明,通过破坏FMS分解条件来消除FMS IV弱点。本文总结了以前对KSAm的安全性分析,研究了WEP操作模式下的KSAm,其中IV跟随密钥,并讨论了新的安全性方面,如其他FMS弱密钥和Roos弱密钥对KSAm的影响以及KSAm完成后状态表的随机性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Systems Science & Complexity
Journal of Systems Science & Complexity 数学-数学跨学科应用
CiteScore
3.80
自引率
9.50%
发文量
90
审稿时长
6-12 weeks
期刊介绍: The Journal of Systems Science and Complexity is dedicated to publishing high quality papers on mathematical theories, methodologies, and applications of systems science and complexity science. It encourages fundamental research into complex systems and complexity and fosters cross-disciplinary approaches to elucidate the common mathematical methods that arise in natural, artificial, and social systems. Topics covered are: complex systems, systems control, operations research for complex systems, economic and financial systems analysis, statistics and data science, computer mathematics, systems security, coding theory and crypto-systems, other topics related to systems science.
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