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  • 标题:Cube Theory and k-error Linear Complexity Profile
  • 本地全文:下载
  • 作者:Jianqin Zhou ; Wanquan Liu ; Xifeng Wang
  • 期刊名称:International Journal of Security and Its Applications
  • 印刷版ISSN:1738-9976
  • 出版年度:2016
  • 卷号:10
  • 期号:7
  • 页码:169-184
  • DOI:10.14257/ijsia.2016.10.7.15
  • 出版社:SERSC
  • 摘要:The linear complexity and k-error linear complexity of a sequence have been used as important measures for keystream strength. In order to study k-error linear complexity of binary sequences with period 2 n , a new tool called cube theory is developed. In this paper, we first give a general decomposition approach to decompose a binary sequence with period 2 n into some disjoint cubes. Second, a counting formula for m-cubes with the same linear complexity is derived, which is equivalent to the counting formula for k-error vectors. The counting formula of 2 n -periodic binary sequences which can be decomposed into more than one cube is also investigated, which extends an important result by Etzion et al.. Finally, we study 2 n -periodic binary sequences with the given k-error linear complexity profile. Consequently, the complete counting formula of 2 n -periodic binary sequences with given k-error linear complexity profile of descent points 2, 4 and 6 is derived. The periodic sequences having the prescribed k-error linear complexity profile with descent points 1, 3, 5 and 7 are also briefly discussed.
  • 关键词:Periodic sequence; linear complexity; k-error linear complexity; cube ; theory
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