Linear Models for High-Complexity Sequences

Author:

Cardell Sara D.,Fúster-Sabater Amparo

Publisher

Springer International Publishing

Reference16 articles.

1. Cardell, S.D., Fúster-Sabater, A.: Linear models for the self-shrinking generator based on CA. J. Cell. Autom. 11(2–3), 195–211 (2016)

2. Cardell, S.D., Fúster-Sabater, A.: Recovering the MSS-sequence via CA. Procedia Comput. Sci. 80, 599–606 (2016)

3. Cardell, S.D., Fúster-Sabater, A.: Modelling the shrinking generator in terms of linear CA. Adv. Math. Commun. 10(4), 797–809 (2016)

4. Fúster-Sabter, A., Caballero-Gil, P.: Chaotic modelling of the generalized self-shrinking generator. Appl. Soft Comput. 11(2), 1876–1880 (2011)

5. Fúster-Sabater, A., Caballero-Gil, P.: Linear cellular automata as discrete models for generating cryptographic sequences. J. Res. Pract. Inf. Technol. 40(4), 47–52 (2008)

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1. Interleaving Shifted Versions of a PN-Sequence;Mathematics;2021-03-23

2. Preliminary Analysis of Interleaving PN-Sequences;Computational Science and Its Applications – ICCSA 2021;2021

3. Linear complexity of generalized sequences by comparison of PN-sequences;Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas;2020-01-25

4. Computing the Linear Complexity in a Class of Cryptographic Sequences;Computational Science and Its Applications – ICCSA 2018;2018

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