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Inicio  /  Cryptography  /  Vol: 6 Par: 2 (2022)  /  Artículo
ARTÍCULO
TITULO

Computational Analysis of Interleaving PN-Sequences with Different Polynomials

Sara D. Cardell    
Verónica Requena and Amparo Fúster-Sabater    

Resumen

Binary PN-sequences generated by LFSRs exhibit good statistical properties; however, due to their intrinsic linearity, they are not suitable for cryptographic applications. In order to break such a linearity, several approaches can be implemented. For example, one can interleave several PN-sequences to increase the linear complexity. In this work, we present a deep randomness study of the resultant sequences of interleaving binary PN-sequences coming from different characteristic polynomials with the same degree. We analyze the period and the linear complexity, as well as many other important cryptographic properties of such sequences.

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