AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (240.6 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Correlation measures of binary sequences derived from Euler quotients

Huaning Liu1Zhixiong Chen2Chenhuang Wu3( )
Research Center for Number Theory and Its Applications, School of Mathematics, Northwest University, Xi'an 710127, Shaanxi, China
Fujian Key Laboratory of Financial Information Processing, Putian University, Putian 351100, Fujian, China
Key Laboratory of Applied Mathematics of Fujian Province University, Putian University, Putian 351100, Fujian, China
Show Author Information

Abstract

Fermat-Euler quotients arose from the study of the first case of Fermat's Last Theorem, and have numerous applications in number theory. Recently they were studied from the cryptographic aspects by constructing many pseudorandom binary sequences, whose linear complexities and trace representations were calculated. In this work, we further study their correlation measures by introducing a new approach based on Dirichlet characters, Ramanujan sums and Gauss sums. Our results show that the 4-order correlation measures of these sequences are very large. Therefore they may not be suggested for cryptography.

CLC number: 11B50, 11K45, 94A55, 94A60

References

【1】
【1】
 
 
AIMS Mathematics
Pages 11087-11101

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Liu H, Chen Z, Wu C. Correlation measures of binary sequences derived from Euler quotients. AIMS Mathematics, 2022, 7(6): 11087-11101. https://doi.org/10.3934/math.2022619

1

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 25 November 2021
Revised: 22 March 2022
Accepted: 22 March 2022
Published: 15 June 2022
©2022 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)