Maximum Distance Separable (MDS) codes are used as diffusion layers in the design of the well known block ciphers like the Advanced Encryption Standard (AES) and Khazad. The reason for the use of MDS codes in the design of block ciphers is that they provide optimal diffusion effect to meet security of a round function of a block cipher. On the other hand, the constructions of these diffusion layers are various. For example, while the AES use a 4×4 MDS matrix over GF(28), Khazad use an 8×8 involutory MDS matrix over GF(28). In this study, a new involutory 4×4 MDS matrix for the AES-like block ciphers is proposed and an efficient software implementation of this matrix is given. The new involutory matrix replaces Mix Columns operation used in ...
A good linear diffusion layer is a prerequisite in the design of block ciphers. Usually it is obtain...
MDS matrices are used as building blocks of diffusion layers in block ciphers, and XOR count is a me...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
ISBN : 978-3-319-03514-7International audienceMany recent block ciphers use Maximum Distance Separab...
Matrices are widely used in Block Cipher Diffusion layers, usually chosen for offering maximal branc...
Part 1: Modern CryptographyInternational audienceMaximum distance separable (MDS) matrices have appl...
Abstract—This article presents a new algorithm to find MDS matrices that are well suited for use as ...
International audienceThis article presents a new algorithm to find MDS matrices that are well suite...
© The Institution of Engineering and Technology 2018. In this study, the authors generalise Hadamard...
In this paper, we observe simple yet subtle interconnections among design theory, coding theory and ...
MDS matrices are an important element for the design of block ciphers such as the AES. In recent yea...
Abstract. MDS matrices allow to build optimal linear diffusion layers in block ciphers. However, MDS...
Abstract. In this article, we review the designs of diffusion layers of blocks ciphers based on line...
The Cryptographics Algorithms AES and Twofish guarantee a high diffusion with the use of fixed MDS m...
The primary intention of this thesis is to generate lightened Maximum Distance Separable (MDS) matri...
A good linear diffusion layer is a prerequisite in the design of block ciphers. Usually it is obtain...
MDS matrices are used as building blocks of diffusion layers in block ciphers, and XOR count is a me...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
ISBN : 978-3-319-03514-7International audienceMany recent block ciphers use Maximum Distance Separab...
Matrices are widely used in Block Cipher Diffusion layers, usually chosen for offering maximal branc...
Part 1: Modern CryptographyInternational audienceMaximum distance separable (MDS) matrices have appl...
Abstract—This article presents a new algorithm to find MDS matrices that are well suited for use as ...
International audienceThis article presents a new algorithm to find MDS matrices that are well suite...
© The Institution of Engineering and Technology 2018. In this study, the authors generalise Hadamard...
In this paper, we observe simple yet subtle interconnections among design theory, coding theory and ...
MDS matrices are an important element for the design of block ciphers such as the AES. In recent yea...
Abstract. MDS matrices allow to build optimal linear diffusion layers in block ciphers. However, MDS...
Abstract. In this article, we review the designs of diffusion layers of blocks ciphers based on line...
The Cryptographics Algorithms AES and Twofish guarantee a high diffusion with the use of fixed MDS m...
The primary intention of this thesis is to generate lightened Maximum Distance Separable (MDS) matri...
A good linear diffusion layer is a prerequisite in the design of block ciphers. Usually it is obtain...
MDS matrices are used as building blocks of diffusion layers in block ciphers, and XOR count is a me...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...