ISCAS OpenIR
synthetic linear analysis: improved attacks on cubehash and rabbit
Lu Yi; Vaudenay Serge; Meier Willi; Ding Liping; Jiang Jianchun
2012
Conference Name14th International Conference on Information Security and Cryptology, ICISC 2011
SourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages248-260
Conference DateNovember 30, 2011 - December 2, 2011
Conference PlaceSeoul, Korea, Republic of
Indexed TypeEI
ISSN0302-9743
ISBN9783642319112
Department(1) National Engineering Research Center of Fundamental Software Institute of Software Chinese Academy of Sciences Beijing China; (2) EPFL Lausanne Switzerland; (3) FHNW Windisch Switzerland
English AbstractIt has been considered most important and difficult to analyze the bias and find a large bias regarding the security of crypto-systems, since the invention of linear cryptanalysis. The demonstration of a large bias will usually imply that the target crypto-system is not strong. Regarding the bias analysis, researchers often focus on a theoretical solution for a specific problem. In this paper, we take a first step towards the synthetic approach on bias analysis. We successfully apply our synthetic analysis to improve the most recent linear attacks on CubeHash and Rabbit respectively. CubeHash was selected to the second round of SHA-3 competition. For CubeHash, the best linear attack on 11-round CubeHash with 2470 queries was proposed previously. We present an improved attack for 11-round CubeHash with complexity 2 414.2. Based on our 11-round attack, we give a new linear attack for 12-round CubeHash with complexity 2513, which is sharply close to the security parameter 2512 of CubeHash. Rabbit is a stream cipher among the finalists of ECRYPT Stream Cipher Project (eSTREAM). For Rabbit, the best linear attack with complexity 2141 was recently presented. Our synthetic bias analysis yields the improved attack with complexity 2 136. Moreover, it seems that our results might be further improved, according to our ongoing computations. © 2012 Springer-Verlag.; It has been considered most important and difficult to analyze the bias and find a large bias regarding the security of crypto-systems, since the invention of linear cryptanalysis. The demonstration of a large bias will usually imply that the target crypto-system is not strong. Regarding the bias analysis, researchers often focus on a theoretical solution for a specific problem. In this paper, we take a first step towards the synthetic approach on bias analysis. We successfully apply our synthetic analysis to improve the most recent linear attacks on CubeHash and Rabbit respectively. CubeHash was selected to the second round of SHA-3 competition. For CubeHash, the best linear attack on 11-round CubeHash with 2470 queries was proposed previously. We present an improved attack for 11-round CubeHash with complexity 2 414.2. Based on our 11-round attack, we give a new linear attack for 12-round CubeHash with complexity 2513, which is sharply close to the security parameter 2512 of CubeHash. Rabbit is a stream cipher among the finalists of ECRYPT Stream Cipher Project (eSTREAM). For Rabbit, the best linear attack with complexity 2141 was recently presented. Our synthetic bias analysis yields the improved attack with complexity 2 136. Moreover, it seems that our results might be further improved, according to our ongoing computations. © 2012 Springer-Verlag.
KeywordSecurity Of Data
SponsorshipNational Security Research Institute (NSRI); Electronics and Telecommunications Research Institute (ETRI); Korea Internet and Security Agency (KISA); Ministry of Public Administration and Security (MOPAS)
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/15778
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Lu Yi,Vaudenay Serge,Meier Willi,et al. synthetic linear analysis: improved attacks on cubehash and rabbit[C],2012:248-260.
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