一种伪随机序列的线性复杂度及其稳定性研究
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国家自然科学基金资助项目(61372094);安徽省科技厅项目(KJ2017JD08);安徽省自然科学基金资助项目(1708085MF167)


Study on the linear complexity and stability of a Pseudorandom Sequence
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    摘要:

    信息安全领域中,传统使用m序列为基序列,对序列进行非线性组合、非线性滤波和非均匀采样等产生线性复杂度很高的序列,其线性复杂度的稳定性却不如意。提出伪随机序列称为m子序列,m子序列通过改变m序列的状态转换次序而得到的序列,m子序列改变了m序列的输出次序,是非线性序列。实验数据表明其线性复杂度是移位寄存器个数的指数倍,同时其线性复杂度的稳定性很高,此序列的k-error线性复杂度随着移位寄存器的个数的增加而不变。

    Abstract:

    In the information security area, traditionally m-sequence is used as the base sequence on which non-linear combination, non-linear filtering and non-uniform sampling are applied to generate a sequence with high linear complexity. Yet the stability of linear complexity of such a sequence is not satisfactory. In this paper, we propose m-subsequence which is generated by changing the state transition order of the m-sequence. Since the m-subsequence is made by changed the order of the m -sequence, it is a non-linear sequence. The linear complexity is shown to be stable and exponential in the length of the shift register by testing data. In addition, the k-error linear complexity remains the same as the length of the shift register grows.

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孙全玲,吕虹,陈万里,戚鹏.一种伪随机序列的线性复杂度及其稳定性研究[J].河北工程大学自然版,2018,35(2):100-102,112

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  • 收稿日期:2018-01-22
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  • 在线发布日期: 2018-06-26
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