Best paper awardInternational audienceMDS matrices allow to build optimal linear diffusion layers in block ciphers. However, MDS matrices cannot be sparse and usually have a large description, inducing costly software/hardware implementations. Recursive MDS matrices allow to solve this problem by focusing on MDS matrices that can be computed as a power of a simple companion matrix, thus having a compact description suitable even for constrained environ- ments. However, up to now, finding recursive MDS matrices required to perform an exhaustive search on families of companion matrices, thus limiting the size of MDS matrices one could look for. In this article we propose a new direct construction based on shortened BCH codes, al- lowing to ef...
Diffusion layers are critical components of symmetric ciphers. MDS matrices are diffusion layers of ...
MDS matrices are used in the design of diffusion layers in many block ciphers and hash functions due...
The subfield construction is one of the most promising methods to construct maximum distance separab...
Best paper awardInternational audienceMDS matrices allow to build optimal linear diffusion layers in...
Abstract. MDS matrices allow to build optimal linear diffusion layers in block ciphers. However, MDS...
International audienceThis article presents a new algorithm to find MDS matrices that are well suite...
Abstract—This article presents a new algorithm to find MDS matrices that are well suited for use as ...
A good linear diffusion layer is a prerequisite in the design of block ciphers. Usually it is obtain...
ISBN : 978-3-319-03514-7International audienceMany recent block ciphers use Maximum Distance Separab...
The optimal branch number of MDS matrices makes them a preferred choice for designing diffusion laye...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
Matrices are widely used in Block Cipher Diffusion layers, usually chosen for offering maximal branc...
MDS matrices are used as building blocks of diffusion layers in block ciphers, and XOR count is a me...
Near-MDS matrices provide better trade-offs between security and efficiency compared to construction...
Cette thèse s’intéresse à deux aspects de la cryptologie symétrique liés à l’utilisation de matrices...
Diffusion layers are critical components of symmetric ciphers. MDS matrices are diffusion layers of ...
MDS matrices are used in the design of diffusion layers in many block ciphers and hash functions due...
The subfield construction is one of the most promising methods to construct maximum distance separab...
Best paper awardInternational audienceMDS matrices allow to build optimal linear diffusion layers in...
Abstract. MDS matrices allow to build optimal linear diffusion layers in block ciphers. However, MDS...
International audienceThis article presents a new algorithm to find MDS matrices that are well suite...
Abstract—This article presents a new algorithm to find MDS matrices that are well suited for use as ...
A good linear diffusion layer is a prerequisite in the design of block ciphers. Usually it is obtain...
ISBN : 978-3-319-03514-7International audienceMany recent block ciphers use Maximum Distance Separab...
The optimal branch number of MDS matrices makes them a preferred choice for designing diffusion laye...
International audienceThis paper investigates large linear mappings with very good diffusion and eff...
Matrices are widely used in Block Cipher Diffusion layers, usually chosen for offering maximal branc...
MDS matrices are used as building blocks of diffusion layers in block ciphers, and XOR count is a me...
Near-MDS matrices provide better trade-offs between security and efficiency compared to construction...
Cette thèse s’intéresse à deux aspects de la cryptologie symétrique liés à l’utilisation de matrices...
Diffusion layers are critical components of symmetric ciphers. MDS matrices are diffusion layers of ...
MDS matrices are used in the design of diffusion layers in many block ciphers and hash functions due...
The subfield construction is one of the most promising methods to construct maximum distance separab...