Three-dimensional data stochastic transformation algorithms for hybrid supercomputer implementation

Abstract

This paper describes new three-dimensional algorithms of stochastic data transformation, offering a solution for information security problems. The most important feature of these algorithms is a high degree of parallelism at the level of elementary operations. In this paper we present a new 3D stochastic transformation called DOZEN, inspired by AES cipher, and two new constructions of S-box, called 2D and 3D S-boxes respectively.