< 2> -移位寄存器变换非线性图的指数

IF 0.2 Q4 MATHEMATICS, APPLIED Prikladnaya Diskretnaya Matematika Pub Date : 2022-01-01 DOI:10.17223/20710410/55/5
V. Fomichev, V. Bobrov
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引用次数: 0

摘要

利用矩阵图法估计向量空间变换乘积坐标函数的本质变量集和非线性变量集。对于本质变量,通过乘乘变换的二元混合矩阵(或有向图)获得估计,对于非线性变量-通过乘乘变换的三元非线性矩阵或其相应的非线性有向图,其弧由集合{0,1,2}的数字标记。对于给定变换的度数,非平凡估计的面积是有限的:对于一组基本变量,由混合矩阵(有向图)的指数;对于一组非线性变量,非线性矩阵(有向图)的< 2 > -指数。对于二元移位寄存器的变换,得到了< 2 > -指数的可得估计,用移位寄存器的长度和反馈函数的本质变量和非线性变量的数目表示。对于非线性有向图有环路的寄存器变换,得到了< 2 > -指数的精确表达式。该结果可用于评价基于寄存器变换迭代构建的密码函数的非线性特性。
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〈2〉-exponents of shift register transformations nonlinearity dipgraphs
The matrix-graph approach is used to estimate the set of essential and non-linear variables of coordinate functions of the product of transformations of vector spaces. For essential variables, estimates are obtained by multiplying binary mixing matrices (or digraphs) of multiplied transformations, for non-linear variables - by multiplying ternary non-linearity matrices of multiplied transformations or their corresponding non-linearity digraphs, the arcs of which are labeled by the numbers of the set {0,1, 2}. For degrees of a given transformation, the area of non-trivial estimates is limited: for a set of essential variables, by the exponential of the mixing matrix (digraph); for a set of nonlinear variables, the 〈2〉-exponent of the matrix (digraph) of nonlinearity. For the class of transformations of binary shift registers, an attainable estimate of 〈2〉-exponents is obtained, expressed in terms of the length of the shift register and the set of numbers of essential and nonlinear variables of the feedback function. For register transformations whose non-linearity digraph has a loop, an exact formula for the 〈2〉-exponent is obtained. The results can be used to evaluate the nonlinearity characteristics of cryptographic functions built on the basis of iterations of register transformations.
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来源期刊
Prikladnaya Diskretnaya Matematika
Prikladnaya Diskretnaya Matematika MATHEMATICS, APPLIED-
CiteScore
0.60
自引率
50.00%
发文量
0
期刊介绍: The scientific journal Prikladnaya Diskretnaya Matematika has been issued since 2008. It was registered by Federal Control Service in the Sphere of Communications and Mass Media (Registration Witness PI № FS 77-33762 in October 16th, in 2008). Prikladnaya Diskretnaya Matematika has been selected for coverage in Clarivate Analytics products and services. It is indexed and abstracted in SCOPUS and WoS Core Collection (Emerging Sources Citation Index). The journal is a quarterly. All the papers to be published in it are obligatorily verified by one or two specialists. The publication in the journal is free of charge and may be in Russian or in English. The topics of the journal are the following: 1.theoretical foundations of applied discrete mathematics – algebraic structures, discrete functions, combinatorial analysis, number theory, mathematical logic, information theory, systems of equations over finite fields and rings; 2.mathematical methods in cryptography – synthesis of cryptosystems, methods for cryptanalysis, pseudorandom generators, appreciation of cryptosystem security, cryptographic protocols, mathematical methods in quantum cryptography; 3.mathematical methods in steganography – synthesis of steganosystems, methods for steganoanalysis, appreciation of steganosystem security; 4.mathematical foundations of computer security – mathematical models for computer system security, mathematical methods for the analysis of the computer system security, mathematical methods for the synthesis of protected computer systems;[...]
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