Add to ORKG© Springer-Verlag Berlin Heidelberg 1995. In this paper we introduce the correlation matrix of a Boolean mapping, a useful concept in demonstrating and proving properties of Boolean functions and mappings. It is argued that correlation matrices are the “natural” representation for the proper understanding and description of the mechanisms of linear cryptanalysis [4]. It is also shown that the difference propagation probabilities and the table consisting of the squared elements of the correlation matrix are linked by a scaled Walsh-Hadamard transform.status: publishe
While performing cryptanalysis, it is of interest to approximate a Boolean function in n variables ...
This paper improves the understanding of linear cryptanalysis by highlighting some previously overlo...
The correlational structure of a set of variables is often conveniently described by the pairwise pa...
Abstract. In this paper we introduce the correlation matrix of a Boolean mapping, a useful concept i...
This thesis concerns the relations between correlation matrix, difference propagation matrix and oth...
AbstractThree correlation theorems for Boolean functions are presented with applications to cryptana...
) Jennifer Seberry ? , Xian-Mo Zhang ?? and Yuliang Zheng ??? Department of Computer Science, T...
AbstractThree correlation theorems for Boolean functions are presented with applications to cryptana...
The goal of this work is to propose a related-key model for linear cryptanalysis. We start by giving...
The goal of this work is to propose a related-key model for linear cryptanalysis. We start by giving...
International audienceThis paper aims at giving a unified overview on the various representations of...
International audienceThis paper aims at giving a unified overview on the various representations of...
While performing cryptanalysis, it is of interest to approximate a Boolean function in n variables f...
The strength of any conventional cipher system relies on the underlying cryptographic Boolean functi...
© Springer International Publishing AG 2016. This paper improves the understanding of linear cryptan...
While performing cryptanalysis, it is of interest to approximate a Boolean function in n variables ...
This paper improves the understanding of linear cryptanalysis by highlighting some previously overlo...
The correlational structure of a set of variables is often conveniently described by the pairwise pa...
Abstract. In this paper we introduce the correlation matrix of a Boolean mapping, a useful concept i...
This thesis concerns the relations between correlation matrix, difference propagation matrix and oth...
AbstractThree correlation theorems for Boolean functions are presented with applications to cryptana...
) Jennifer Seberry ? , Xian-Mo Zhang ?? and Yuliang Zheng ??? Department of Computer Science, T...
AbstractThree correlation theorems for Boolean functions are presented with applications to cryptana...
The goal of this work is to propose a related-key model for linear cryptanalysis. We start by giving...
The goal of this work is to propose a related-key model for linear cryptanalysis. We start by giving...
International audienceThis paper aims at giving a unified overview on the various representations of...
International audienceThis paper aims at giving a unified overview on the various representations of...
While performing cryptanalysis, it is of interest to approximate a Boolean function in n variables f...
The strength of any conventional cipher system relies on the underlying cryptographic Boolean functi...
© Springer International Publishing AG 2016. This paper improves the understanding of linear cryptan...
While performing cryptanalysis, it is of interest to approximate a Boolean function in n variables ...
This paper improves the understanding of linear cryptanalysis by highlighting some previously overlo...
The correlational structure of a set of variables is often conveniently described by the pairwise pa...