ISCAS OpenIR
On the approximation of S-boxes via Maiorana-McFarland functions
Wei, Yongzhuang (1); Pasalic, Enes (3)
2013
SourceIET Information Security
ISSN17518709
Volume7Issue:2Pages:134-143
English AbstractSubstitution boxes (S-boxes) are the key components of conventional cryptographic systems. To quantify the confusion property of S-boxes, different non-linearity criteria are proposed such as usual non-linearity (NF), unrestricted nonlinearity (UNF), generalised non-linearity (GN F), higher order non-linearity (HNF) and so on. Although these different criteria come from the idea of linear (or non-linear) approximation of S-boxes, the algebraic structures of Boolean functions that are used to approximate to S-boxes have not been considered yet. In this study, the concept of the extended non-linearity of S-boxes (denoted by ENF) is introduced by measuring the distance of a given function to a subset of Maiorana-McFarland functions. This approximation appears to be appealing because of a particular structure of this class of functions, namely their representation as a concatenation of affine functions. The complexity of computing the rth order extended non-linearity for S-boxes over GF(2) n is less than O ((n/r)2n-r), (r > 1). Moreover, a theoretical upper bound for the rth order extended nonlinearity is proved, which is much lower than previous generalised non-linearity which might give a rise to more efficient attacks that combine a generalised correlation approach with guess and determine techniques. Furthermore, the relationship between the r-order extended non-linearity and the generalised non-linearity is derived. © The Institution of Engineering and Technology 2013.; Substitution boxes (S-boxes) are the key components of conventional cryptographic systems. To quantify the confusion property of S-boxes, different non-linearity criteria are proposed such as usual non-linearity (NF), unrestricted nonlinearity (UNF), generalised non-linearity (GN F), higher order non-linearity (HNF) and so on. Although these different criteria come from the idea of linear (or non-linear) approximation of S-boxes, the algebraic structures of Boolean functions that are used to approximate to S-boxes have not been considered yet. In this study, the concept of the extended non-linearity of S-boxes (denoted by ENF) is introduced by measuring the distance of a given function to a subset of Maiorana-McFarland functions. This approximation appears to be appealing because of a particular structure of this class of functions, namely their representation as a concatenation of affine functions. The complexity of computing the rth order extended non-linearity for S-boxes over GF(2) n is less than O ((n/r)2n-r), (r > 1). Moreover, a theoretical upper bound for the rth order extended nonlinearity is proved, which is much lower than previous generalised non-linearity which might give a rise to more efficient attacks that combine a generalised correlation approach with guess and determine techniques. Furthermore, the relationship between the r-order extended non-linearity and the generalised non-linearity is derived. © The Institution of Engineering and Technology 2013.
Indexed TypeSCI ; EI
Department(1) State Key Laboratory of Information Security, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Guilin University of Electronic Technology, Guilin City, Guangxi Province 541004, China; (3) University of Primorska, FAMNIT and IAM, 6000, Koper, Slovenia
Language英语
WOS IDWOS:000321701300010
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16956
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Wei, Yongzhuang ,Pasalic, Enes . On the approximation of S-boxes via Maiorana-McFarland functions[J]. IET Information Security,2013,7(2):134-143.
APA Wei, Yongzhuang ,&Pasalic, Enes .(2013).On the approximation of S-boxes via Maiorana-McFarland functions.IET Information Security,7(2),134-143.
MLA Wei, Yongzhuang ,et al."On the approximation of S-boxes via Maiorana-McFarland functions".IET Information Security 7.2(2013):134-143.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wei, Yongzhuang (1)]'s Articles
[Pasalic, Enes (3)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wei, Yongzhuang (1)]'s Articles
[Pasalic, Enes (3)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wei, Yongzhuang (1)]'s Articles
[Pasalic, Enes (3)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.