中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Utilizing Probabilistic Linear Equations in Cube Attacks

文献类型:期刊论文

作者Yao, Y ; Zhang, B ; Wu, WL
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2016
卷号31期号:2页码:317-325
关键词cube attack sequential probability ratio test maximum likelihood decoding Trivium
ISSN号1000-9000
中文摘要Cube attacks, proposed by Dinur and Shamir at EUROCRYPT 2009, have shown huge power against stream ciphers. In the original cube attacks, a linear system of secret key bits is exploited for key recovery attacks. However, we find a number of equations claimed linear in previous literature actually nonlinear and not fit into the theoretical framework of cube attacks. Moreover, cube attacks are hard to apply if linear equations are rare. Therefore, it is of significance to make use of probabilistic linear equations, namely nonlinear superpolys that can be approximated by linear expressions effectively. In this paper, we suggest a way to test out and utilize these probabilistic linear equations, thus extending cube attacks to a wider scope. Concretely, we employ the standard parameter estimation approach and the sequential probability ratio test (SPRT) for linearity test in the preprocessing phase, and use maximum likelihood decoding (MLD) for solving the probabilistic linear equations in the online phase. As an application, we exhibit our new attack against 672 rounds of Trivium and reduce the number of key bits to search by 7.
英文摘要Cube attacks, proposed by Dinur and Shamir at EUROCRYPT 2009, have shown huge power against stream ciphers. In the original cube attacks, a linear system of secret key bits is exploited for key recovery attacks. However, we find a number of equations claimed linear in previous literature actually nonlinear and not fit into the theoretical framework of cube attacks. Moreover, cube attacks are hard to apply if linear equations are rare. Therefore, it is of significance to make use of probabilistic linear equations, namely nonlinear superpolys that can be approximated by linear expressions effectively. In this paper, we suggest a way to test out and utilize these probabilistic linear equations, thus extending cube attacks to a wider scope. Concretely, we employ the standard parameter estimation approach and the sequential probability ratio test (SPRT) for linearity test in the preprocessing phase, and use maximum likelihood decoding (MLD) for solving the probabilistic linear equations in the online phase. As an application, we exhibit our new attack against 672 rounds of Trivium and reduce the number of key bits to search by 7.
收录类别SCI
语种英语
WOS记录号WOS:000372154100007
公开日期2016-12-09
源URL[http://ir.iscas.ac.cn/handle/311060/17344]  
专题软件研究所_软件所图书馆_期刊论文
推荐引用方式
GB/T 7714
Yao, Y,Zhang, B,Wu, WL. Utilizing Probabilistic Linear Equations in Cube Attacks[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2016,31(2):317-325.
APA Yao, Y,Zhang, B,&Wu, WL.(2016).Utilizing Probabilistic Linear Equations in Cube Attacks.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,31(2),317-325.
MLA Yao, Y,et al."Utilizing Probabilistic Linear Equations in Cube Attacks".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 31.2(2016):317-325.

入库方式: OAI收割

来源:软件研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。