scholarly journals Cube Theory and k-error Linear Complexity Profile

2016 ◽  
Vol 10 (7) ◽  
pp. 169-184
Author(s):  
Jianqin Zhou ◽  
Wanquan Liu ◽  
Xifeng Wang
2018 ◽  
Vol 12 (4) ◽  
pp. 805-816 ◽  
Author(s):  
Zhixiong Chen ◽  
◽  
Vladimir Edemskiy ◽  
Pinhui Ke ◽  
Chenhuang Wu ◽  
...  

2020 ◽  
Vol 68 ◽  
pp. 101761
Author(s):  
Jean-Paul Allouche ◽  
Guo-Niu Han ◽  
Harald Niederreiter

2020 ◽  
Vol 102 (2) ◽  
pp. 342-352
Author(s):  
YUHUI ZHOU ◽  
YUHUI HAN ◽  
YANG DING

The linear complexity and the error linear complexity are two important security measures for stream ciphers. We construct periodic sequences from function fields and show that the error linear complexity of these periodic sequences is large. We also give a lower bound for the error linear complexity of a class of nonperiodic sequences.


2018 ◽  
Vol 228 ◽  
pp. 01014
Author(s):  
Chun-e Zhao ◽  
Tongjiang Yan ◽  
Qihua Niu

Balanced binary sequences of large linear complexity have series applications in communication systems. In the past, although the sequences derived from polynomial quotients have large linear complexity, but they are not balanced. In this paper, we will construct new sequences which are not only with large linear complexity but also balanced. Meanwhile, this linear complexity reaches the known k-error linear complexity mentioned in [7], which means that the k-error linear complexity as a lower bound is tight.


Sign in / Sign up

Export Citation Format

Share Document