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DIGITAL.CSIC
Article . 2009 . Peer-reviewed
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Modelización del generador auto-shrinking mediante autómatas celulares

Authors: Fúster Sabater, Amparo; Pazo-Robles, M.E.; Caballero Gil, Pino;

Modelización del generador auto-shrinking mediante autómatas celulares

Abstract

En este trabajo se ha desarrollado un modelo lineal muy simple basado en Autómatas Celulares que genera exactamente la misma secuencia de salida que el generador Auto-Shrinking, un conocido generador de secuencia cifrante utilizado en el procedimiento de cifrado en flujo. El proceso de obtención del modelo lineal a partir de los parámetros del generador Auto-Shrinking es inmediato. La implementación del modelo ya linealizado puede llevarse a la práctica mediante lógica FPGA. La linealidad y las propiedades de simetría que aparecen en este modelo celular pueden utilizarse convenientemente para el análisis y/o criptoanálisis de este tipo de generador criptográfico.

Este trabajo ha sido realizado en el marco del proyecto "HESPERIA" financiado por el Centro para el Desarrollo Tecnológico Industrial (CDTI) a través del programa CENIT y por las empresas: Soluziona Consultoría y Tecnología, Unión Fenosa, Tecnobit, Visual-Tools, BrainStorm, SAC y TechnoSafe.

Este trabajo se realiza en el marco de una Tesis Doctoral, por ende los autores quieren expresar su agradecimiento al ITBA, Instituto Tecnológico de Buenos Aires (Argentina) y a alguno de sus profesores por sus útiles comentarios durante la preparación de este manuscrito.

7 pages, 6 figures.-- Contributed to: X Spanish Meeting on Cryptology and Information Security (Salamanca, Spain, Sep 2-5, 2008).

Peer reviewed

Country
Spain
Keywords

Generador auto-shrinking, Criptografía, Autómata celular, Secuencia cifrante, Modelo lineal

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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