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Cube Theory and k-error Linear Complexity Profile

초록

영어

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 2n, 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 2n 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 2n-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 2n-periodic binary sequences with the given k-error linear complexity profile. Consequently, the complete counting formula of 2n-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.

목차

Abstract
 1. Introduction
 2. Preliminaries
 3. Cube Theory and Main Results
 4. The Counting Formula of 2n-Periodic Binary Sequences
  4.1. The Counting Formula of 2n-Periodic Binary Sequences with One or More Cubes
  4.2. The Counting Formula of 2n-Periodic Binary Sequences with the Given k-Error Linear Complexity Profile
  4.3. The Counting Formula of 2n-Periodic Binary Sequences with the Given k-errorLinear Complexity Profile
 5. Conclusion
 Acknowledgments
 References

저자정보

  • Jianqin Zhou Department of Computing, Curtin University, Perth, WA 6102 Australia, Computer Science School, Anhui Univ. of Technology, Ma’anshan, 243002 China
  • Wanquan Liu Department of Computing, Curtin University, Perth, WA 6102 Australia
  • Xifeng Wang Computer Science School, Anhui Univ. of Technology, Ma’anshan, 243002 China

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