Generalized Galois and Fibonacci Matrices in Cryptographic Applications

A. Beletsky
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引用次数: 1

Abstract

The terms of the Galois matrices , as well as those bijectively associated with them the Fibonacci matrices connect by the operator of the right-hand transposition (that is, transposition to the auxiliary diagonal), are borrowed from the theory of cryptography, in which generators of pseudorandom number (PRN) widely use according to Galois and Fibonacci schemes (in configuration). A distinctive feature of both the and matrices is that the identical binary sequences can programmatically calculate the sequences formed by the PRN generators. The latter's constructions are based on linear feedback shift registers, implemented by software or hardware methods in Galois and Fibonacci architecture. The proposed generalized Galois matrices, discussed in the Chapter, significantly expand the variety of PRN generators. That is achieved both by increasing the number of generating elements (in the classical version used a single element ) and since generalized generators can construct not only using PRN but also polynomials, not necessarily (as in classical generators), which are primitive. The listed features of generalized Galois matrices provide PRN generators with significantly higher cryptographic security than generators based on conventional matrices.
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广义伽罗瓦和斐波那契矩阵在密码学中的应用
伽罗瓦矩阵的项,以及那些双客观地与它们相关联的斐波那契矩阵由右转置算子(即转置到辅助对角线)连接,从密码学理论中借用,其中伪随机数(PRN)发生器根据伽罗瓦和斐波那契方案(在组态中)广泛使用。矩阵和矩阵的一个显著特征是相同的二进制序列可以通过编程计算由PRN生成器生成的序列。后者的结构基于线性反馈移位寄存器,在伽罗瓦和斐波那契体系结构中通过软件或硬件方法实现。本章讨论的广义伽罗瓦矩阵极大地扩展了PRN生成器的种类。这可以通过增加生成元素的数量来实现(在经典版本中使用单个元素),并且由于广义生成器不仅可以使用PRN,还可以使用多项式,而不一定(如经典生成器),这是原始的。广义伽罗瓦矩阵所列出的特征使得PRN生成器比基于传统矩阵的生成器具有更高的加密安全性。
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