Paper 2026/129

The ideal arithmetic correlations of $N$-ary sequences and related results

Feifei Yan, School of Mathematics and Statistics,Fujian Normal University
Pinhui Ke, Key Laboratory of Analytical Mathematics and Applications (Ministry of Education),Fujian Normal University
Chenhuang Wu, Provincial Key Laboratory of Applied Mathematics, Putian University
Abstract

Arithmetic correlations represent the extension of classical correlations into the with-carry setting and serve as a critical performance criterion for pseudorandom sequences constructed via feedback with carry shift registers. The arithemetic correlation values should be as small as possible for application perspective. This paper establishes a sufficient condition for $N$-ary sequences to have ideal arithmetic correlation. Based on this characterization, it is demonstrated that $N$-ary $\ell$-sequences with a prime connection integer $p$ satisfying $p\equiv1(\textup{mod}\:N)$ exhibit ideal arithmetic correlation. Furthermore, under the condition $N^{p-1}\not\equiv1(\textup{mod}\:p^{2})$, this result is extended to the case where the connection integer is a prime power. Additionally, an upper bound is established for the arithmetic crosscorrelation of binary sequences derived from Fermat quotients with coprime periods.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
Binary sequence$N$-ary sequenceArithmetic correlationsFeedback with carry shift registers
Contact author(s)
ffyfjnu @ 139 com
History
2026-01-28: approved
2026-01-27: received
See all versions
Short URL
https://ia.cr/2026/129
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/129,
      author = {Feifei Yan and Pinhui Ke and Chenhuang Wu},
      title = {The ideal arithmetic correlations of $N$-ary sequences and related results},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/129},
      year = {2026},
      url = {https://eprint.iacr.org/2026/129}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.