A Note on Cyclic Codes from APN Functions
Chunming Tang, Yanfeng Qi, Maozhi Xu

TL;DR
This paper investigates cyclic codes derived from specific APN functions, determining their dimensions and minimum weight bounds, and provides a general framework for analyzing related sequences in coding theory.
Contribution
It addresses open problems by analyzing cyclic codes from inverse and Dobbertin APN functions, offering new methods for minimal polynomial and linear span calculations.
Findings
Dimensions of cyclic codes from inverse and Dobbertin APN functions determined.
Lower bounds on minimum weight of these cyclic codes established.
A general framework for analyzing sequences related to these codes is presented.
Abstract
Cyclic codes, as linear block error-correcting codes in coding theory, play a vital role and have wide applications. Ding in \cite{D} constructed a number of classes of cyclic codes from almost perfect nonlinear (APN) functions and planar functions over finite fields and presented ten open problems on cyclic codes from highly nonlinear functions. In this paper, we consider two open problems involving the inverse APN functions and the Dobbertin APN function . From the calculation of linear spans and the minimal polynomials of two sequences generated by these two classes of APN functions, the dimensions of the corresponding cyclic codes are determined and lower bounds on the minimum weight of these cyclic codes are presented. Actually, we present a framework for the minimal polynomial and linear span of the sequence …
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 · Cryptographic Implementations and Security · Cellular Automata and Applications
