Correlation measures of binary sequences derived from Euler quotients
Huaning Liu, Zhixiong Chen, Chenhuang Wu

TL;DR
This paper investigates the correlation properties of binary sequences derived from Euler quotients, revealing their high correlation measures which limit their cryptographic suitability.
Contribution
It introduces a new analysis approach using Dirichlet characters, Ramanujan sums, and Gauss sums to study correlation measures of these sequences.
Findings
4-order correlation measures are very large
Sequences may not be suitable for cryptography
Provides new analytical methods for correlation analysis
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 using the approach based on Dirichlet characters, Ramanujan sums and Gauss sums. Our results show that the -order correlation measures of these sequences are very large. Therefore they may not be suggested for cryptography.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCoding theory and cryptography · Advanced Mathematical Theories and Applications · Analytic Number Theory Research
