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Erschienen in: Designs, Codes and Cryptography 3/2024

01.08.2023

Analysis and computation of multidimensional linear complexity of periodic arrays

verfasst von: Rafael Arce, Carlos Hernández, José Ortiz, Ivelisse Rubio, Jaziel Torres

Erschienen in: Designs, Codes and Cryptography | Ausgabe 3/2024

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Abstract

Linear complexity is an important parameter for arrays that are used in applications related to information security. In this work we survey constructions of two and three dimensional arrays, and present new results on the multidimensional linear complexity of periodic arrays obtained using the definition and method proposed in Arce-Nazario et al. (Appl. Algebra Eng Commun Comput 31(1):43–63, 2020), Gomez-Perez et al. (2015 IEEE International Symposium on Information Theory, pp 2697–2701, 2015) and Moreno et al. (US Provisional Patent Applications, 2015). The results include a generalization of a bound for the linear complexity, a comparison with the measure of complexity for multisequences, and computations of the complexity of arrays with periods that are not relatively prime for which the “unfolding method” does not work. Conjectures for exact formulas and the asymptotic behavior of the complexity of some array constructions are formulated. We also present open source software for constructing multidimensional arrays and for computing their multidimensional linear complexity.
Fußnoten
1
Although the hypothesis of the theorem cited in these papers is not completely correct (for example, consider \(x^2+x+6 \in \mathbb {F}_{11}[x]\) and note that the sequence obtained does not have length 12), it is true that sequences of length \(q+1\) can be constructed using certain rational functions over \(\mathbb {F}_q\).
 
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Metadaten
Titel
Analysis and computation of multidimensional linear complexity of periodic arrays
verfasst von
Rafael Arce
Carlos Hernández
José Ortiz
Ivelisse Rubio
Jaziel Torres
Publikationsdatum
01.08.2023
Verlag
Springer US
Erschienen in
Designs, Codes and Cryptography / Ausgabe 3/2024
Print ISSN: 0925-1022
Elektronische ISSN: 1573-7586
DOI
https://doi.org/10.1007/s10623-023-01274-w

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