SYNTHESIS METHOD OF TERNARY BENT-FUNCTIONS OF THREE VARIABLES

Authors

  • A. V. Sokolov Odessa National Polytechnic University, Odessa, Ukraine

DOI:

https://doi.org/10.15588/1607-3274-2020-1-9

Keywords:

Сryptography, pseudorandom sequence generator, ternary logic, bent-function.

Abstract

Context. Such perfect algebraic constructions of many-valued logic as ternary bent-functions and their truth tables which are called as 3-bent-sequences, are used very often in modern cryptographic algorithms, in particular, in pseudorandom sequence generators. However, today there are no methods for synthesizing the ternary bent-functions class for a number of variables greater than two, which significantly limits the ability to scale the number of protection levels of the of pseudorandom sequence generators based on the ternary bent-functions. This circumstance generates the task of developing methods for the synthesis of ternary bent-functions, which is solved in this paper for the case of ternary bent-functions of three variables. The object of this research is the process of efficiency increasing of the cryptographic algorithms based on the functions of many-valued logic.

Objective. The purpose of the paper is to construct a method for the synthesis of the set of ternary bent-functions of three variables.

Method. The mathematical apparatus of the Reed-Muller transform (algebraic normal form) was used as the basis of the proposed constructive method for the synthesis of ternary bent-functions of three variables. So, on the basis of the established properties of the algebraic normal form of ternary bent-functions and limited enumeration, the search for ternary bent-functions up to affine terms is performed, after which we apply the procedure of reproduction.

Results. As a result of using of the proposed method for the synthesis of ternary bent-functions of three variables, 155844 3-bentsequences were found up to an affine term, while the cardinality of the full set of found 3-bent-sequences is 12623364. The research performed made it possible to determine that in this set there are 3-bent-sequences of six different weight structures, on the basis of which 12 different triple sets can be compiled for use in pseudorandom sequence generators. A scheme for a cryptographically stable pseudorandom sequence generator based on the found set of 3-bent-sequences of length N = 27 is proposed. It is shown that the protection levels number of such a generator of pseudorandom sequences is 41 7.041 10    which is comparable with the protection levels number of modern block symmetric cryptographic algorithms, for example, AES-128.

Conclusions. The further development of modern cryptographic algorithms, in particular, cryptographically stable pseudorandom sequence generators, is largely based on the use of perfect algebraic constructions of many-valued logic. For the first time, a constructive method for the synthesis of ternary bent-functions of three variables is proposed. For the found set of ternary bent-functions, the distribution of weight structures is found, and the possible triple sets are established. Based on the constructed set of ternary bentfunctions, a pseudorandom sequence generator scheme is proposed that has a protection levels number that is comparable with modern block symmetric cryptographic algorithms. We note that the constructed class of ternary bent-functions can also be used for the synthesis of cryptographically strong S-boxes, codes of constant amplitude, as well as error correction codes. As an actual area of further research, we can note the development of methods for the synthesis of ternary bent-functions of a larger number of variables. 

Author Biography

A. V. Sokolov, Odessa National Polytechnic University, Odessa

PhD, Senior Lecturer of the Department of Informatics and Control of Information Systems Protection

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How to Cite

Sokolov, A. V. (2020). SYNTHESIS METHOD OF TERNARY BENT-FUNCTIONS OF THREE VARIABLES. Radio Electronics, Computer Science, Control, (1), 82–89. https://doi.org/10.15588/1607-3274-2020-1-9

Issue

Section

Mathematical and computer modelling