Analysis and Improvement of the Components of SNOW 2.0 Based on Statistical Tests
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摘要: SNOW族算法是目前序列密码算法设计的一个主流方向。针对SNOW族算法现有的安全漏洞，该文以最具代表性的SNOW 2.0算法为研究对象，采用随机性测试方法对其多个域上模加、非线性S盒以及线性反馈移位寄存器(LFSR)3个核心部件进行分析，提出基于随机S盒和高性能LFSR等部件改进的多套改进方案，有效提升SNOW族算法的安全性和实现性能。Abstract: The SNOW family is a main trend of the design of the stream cipher. Because of the security vulnerabilities of the SNOW family, this paper selects SNOW 2.0 algorithm which is the most representative of the family as a research object. Three core components of SNOW 2.0 that are mold addition on more than one domain, nonlinear S-box and Linear Feedback Shift Register (LFSR) are analyzed using statistical tests. Several improved algorithms are proposed based on improving random S-box and improving high performance LFSR. The result enhances effectively the security and performance of SNOW family.
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Key words:
- Stream cipher /
- SNOW 2.0 /
- Statistical test /
- Mold addition /
- S box /
- Linear Feedback Shift Register (LFSR)
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