The Linear Complexity of a Class of Binary Sequences With Optimal Autocorrelation
Cuiling Fan

TL;DR
This paper determines the minimal polynomial and linear complexity of a class of binary sequences with optimal autocorrelation, which are constructed via interleaving Ding-Helleseth-Lam sequences, highlighting their suitability for cryptographic applications.
Contribution
It provides the first analysis of the linear complexity of these sequences, showing they possess high linear complexity suitable for cryptography.
Findings
Sequences have high linear complexity.
Sequences exhibit optimal autocorrelation.
Linear complexity is suitable for cryptographic use.
Abstract
Binary sequences with optimal autocorrelation and large linear complexity have important applications in cryptography and communications. Very recently, a class of binary sequences of period with optimal autocorrelation was proposed via interleaving four suitable Ding-Helleseth-Lam sequences (Des. Codes Cryptogr., DOI 10.1007/s10623-017-0398-5), where is an odd prime with . The objective of this paper is to determine the minimal polynomial and the linear complexity of this class of binary optimal sequences via sequence polynomial approach. It turns out that this class of sequences has quite good linear complexity.
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Taxonomy
TopicsCoding theory and cryptography · graph theory and CDMA systems · Advanced Wireless Communication Techniques
