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Criptoanálisis de un cifrador caótico realizado con redes neuronales celulares

Authors: Orúe, Amalia B.; Fernández Mármol, Verónica; Pastor, Gerardo; Romera, Miguel; Álvarez Marañón, Gonzalo; Montoya Vitini, Fausto;

Criptoanálisis de un cifrador caótico realizado con redes neuronales celulares

Abstract

Este artículo analiza la seguridad de un criptosistema caótico basado en una realización del circuito de Chua con redes neuronales de estado controlado. Se demuestra que el texto claro se puede recuperar por filtrado paso banda del texto cifrado o usando una decodificación imperfecta con parámetros del receptor de valores inexactos. Además, se evidencia que el espacio de claves puede reducirse notablemente y que la resolución de los parámetros que conducen a la recuperación de un texto claro inteligible es tan grosera como el 5%, posibilitando un ataque por fuerza bruta. Finalmente, se demuestra que los valores de los parámetros del sistema pueden determinarse con gran precisión analizando el error de decodificación producido por el desajuste entre los valores de los parámetros de receptor y transmisor.

Los autores agradecen su ayuda al Ministerio de Educación y Ciencia proyecto, TSI2007-62657 y al CDTI (Ministerio de Industria, Turismo y Comercio), en colaboración con Telefónica I+D, proyecto SEGUR@ (CENIT 2007-2010).

9 pages, 12 figures.-- Contributed to: X Spanish Meeting on Cryptology and Information Security (Salamanca, Spain, Sep 2-5, 2008).

Peer reviewed

Keywords

Criptografía, Caos, Redes neuronales celulares, Criptoanálisis, Circuito de Chua

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
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