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Xiaoxiong Lu

dblp:322/4227 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0003-4493-7105ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Coding theory · 100%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cryptographic primitives and cryptanalysis › finite field
permutation polynomials
0.912025
Graph Structure of Chebyshev Permutation Polynomials Over Ring ℤpk · IEEE Trans. Inf. Theory 2025
Coding theory
chebyshev polynomials
0.912025
Graph Structure of Chebyshev Permutation Polynomials Over Ring ℤpk · IEEE Trans. Inf. Theory 2025
Coding theory › algebraic structure
finite ring
0.912025
Graph Structure of Chebyshev Permutation Polynomials Over Ring ℤpk · IEEE Trans. Inf. Theory 2025

Methods — techniques the papers use, named apart from their topics

polynomial derivatives · 1.7functional graph analysis · 1.7
YearPublicationVenuePosition
2025 Graph Structure of Chebyshev Permutation Polynomials Over Ring ℤpk
abstract
Understanding the underlying graph structure of a nonlinear map over a particular domain is essential in evaluating its potential for real applications. In this paper, we investigate the structure of the associated functional graph of Chebyshev permutation polynomials over a ring$\mathbb {Z}_{p^{k}}$, with p being a prime number greater than three, where every number in the ring is considered as a vertex and the existing mapping relation between two vertices is regarded as a directed edge. Based on some new properties of Chebyshev polynomials and their derivatives, we disclose how the basic structure of the functional graph evolves with respect to parameter k. First, we present a complete and explicit form of the length of a path starting from any given vertex. Then, we show that the functional graph’s strong patterns indicate that the number of cycles of any given length always remains constant as k increases. Moreover, we rigorously prove the rules on the elegant structure of the functional graph and verify them experimentally. Our results could be useful for studying the emergence mechanism of the complexity of a nonlinear map in digital computers and security analysis of its cryptographic applications.
Chengqing Li, Xiaoxiong Lu, Kai Tan 0006, Guanrong Chen
IEEE Trans. Inf. Theory2