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Driven Stability of Nonlinear Feedback Shift Registers With Inputs

机译:带输入的非线性反馈移位寄存器的驱动稳定性

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摘要

Driven stable nonlinear feedback shift registers (NFSRs) with inputs are not only able to limit error propagations in convolutional decoders, but also helpful to analyze the period properties of sequences generated by a cascade connection of NFSRs in stream ciphers. An NFSR is driven stable if and only if the reachable set is a subset of the basin. Due to lack of efficient algebraic tools, the driven stability of NFSRs with inputs has been much less studied. This paper continues to address this research using a Boolean control network approach. Viewing an NFSR with input as a Boolean control network, we first give its Boolean control network representation, which is characterized with a state transition matrix. Some properties of the state transition matrix are then provided. Based on these, explicit forms are given for the reachable set and the set of basin. Two algorithms for obtaining both the sets are provided as well. Compared with the exhaustive search and the existing state operator method, the Boolean control network approach requires lower computational complexity for those NFSRs with their stages greater than 1.
机译:具有输入的驱动稳定非线性反馈移位寄存器(NFSR)不仅能够限制卷积解码器中的错误传播,而且有助于分析由流密码中的NFSR级联连接生成的序列的周期特性。当且仅当可达集是盆地的一个子集时,NFSR才会被稳定驱动。由于缺乏有效的代数工具,因此对带有输入的NFSR的驱动稳定性的研究很少。本文继续使用布尔控制网络方法解决这一研究问题。查看带有输入作为布尔控制网络的NFSR,我们首先给出其布尔控制网络表示形式,该表示形式具有状态转换矩阵。然后提供状态转移矩阵的某些属性。基于这些,给出了可到达集合和盆地集合的显式形式。还提供了两种用于获得两个集合的算法。与穷举搜索和现有状态算子方法相比,布尔控制网络方法对于那些阶数大于1的NFSR要求较低的计算复杂度。

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