Linear Complexity Profile as a Means of Measuring the Quality of Random Sequences

2015 ◽  
Vol 47 (3) ◽  
pp. 57-70
Author(s):  
Lyudmila A. Zavadska ◽  
Maksim A. Semybalamut
2020 ◽  
Vol 68 ◽  
pp. 101761
Author(s):  
Jean-Paul Allouche ◽  
Guo-Niu Han ◽  
Harald Niederreiter

Information ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 193
Author(s):  
Jiang Ma ◽  
Wei Zhao ◽  
Yanguo Jia ◽  
Haiyang Jiang

Linear complexity is an important criterion to characterize the unpredictability of pseudo-random sequences, and large linear complexity corresponds to high cryptographic strength. Pseudo-random Sequences with a large linear complexity property are of importance in many domains. In this paper, based on the theory of inverse Gray mapping, two classes of new generalized cyclotomic quaternary sequences with period pq are constructed, where pq is a product of two large distinct primes. In addition, we give the linear complexity over the residue class ring Z4 via the Hamming weights of their Fourier spectral sequence. The results show that these two kinds of sequences have large linear complexity.


2012 ◽  
Vol 15 ◽  
pp. 326-340 ◽  
Author(s):  
Claus Diem

AbstractFrom power series expansions of functions on curves over finite fields, one can obtain sequences with perfect or almost perfect linear complexity profile. It has been suggested by various authors to use such sequences as key streams for stream ciphers. In this work, we show how long parts of such sequences can be computed efficiently from short ones. Such sequences should therefore be considered to be cryptographically weak. Our attack leads in a natural way to a new measure of the complexity of sequences which we call expansion complexity.


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