GL-S-NFSR: A new NFSR structure and its period properties

Xiao-Juan Wang, Tian Tian, Wen-Feng Qi
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Abstract

Recently nonlinear feedback shift registers (NFSRs) have frequently been used as basic building blocks for stream ciphers. A major problem concerning NFSRs is to construct NFSRs with large periods. In this paper, a new NFSR structure whose period could be theoretically analyzed is proposed and studied, called GL-S-NFSR. A GL-S-NFSR is a selective cascade connection of a primitive Galois LFSR into a standard Galois NFSR with a linear simplified feedback function, where standard Galois NFSRs with linear simplified feedback functions are very useful in stream ciphers, e.g., Trivium. It is proved that the periods of the output sequences of a GL-S-NFSR are lower bounded by the product of all the Zsigmondy primes of \( 2^n-1 \) with a probability close to 1 under a weak assumption, and particularly, if n is a prime, then \(2^n-1\) divides the periods of the output sequences with a high probability, where n is the stage of the Galois LFSR. Besides, it is also proved that there are several registers satisfying that the periods are multiples of Zsigmondy primes without any assumption. Note that the main building block of Kreyvium consists of a standard Galois NFSR with a linear simplified feedback function and two pure cycling registers (PCRs). Periodic results on GL-S-NFSR are applied to Kreyvium by modifying one PCR to a primitive LFSR and the modified building block of Kreyvium is called M-Kreyvium. It is shown that the sequences involved in M-Kreyvium could have large periods with high probabilities.

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GL-S-NFSR:一种新的 NFSR 结构及其周期特性
最近,非线性反馈移位寄存器(NFSR)经常被用作流密码的基本构件。有关 NFSR 的一个主要问题是如何构建大周期的 NFSR。本文提出并研究了一种新的 NFSR 结构,即 GL-S-NFSR,它的周期可以从理论上分析。GL-S-NFSR 是将原始伽罗瓦 LFSR 有选择地级联为具有线性简化反馈函数的标准伽罗瓦 NFSR,其中具有线性简化反馈函数的标准伽罗瓦 NFSR 在流密码(如 Trivium)中非常有用。研究证明,在弱假设条件下,GL-S-NFSR 输出序列的周期由 \( 2^n-1 \)的所有 Zsigmondy 素的乘积下界,概率接近于 1,特别是,如果 n 是素数,那么 \(2^n-1\)以很高的概率分割输出序列的周期,其中 n 是伽罗瓦 LFSR 的级数。此外,还证明了有几个寄存器无需任何假设就能满足周期是 Zsigmondy 素的倍数的要求。请注意,Kreyvium 的主要构件包括一个具有线性简化反馈函数的标准伽罗瓦 NFSR 和两个纯循环寄存器 (PCR)。通过将一个 PCR 修改为原始 LFSR,将 GL-S-NFSR 的周期性结果应用于 Kreyvium,修改后的 Kreyvium 构建模块称为 M-Kreyvium。结果表明,M-Kreyvium 所涉及的序列可能具有高概率的大周期。
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