Advances in Neural Networks – ISNN 2005
Lecture Notes in Computer Science, 2005, Volume 3497/2005, 821, DOI: 10.1007/11427445_103

Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher

Chengqing Li, Shujun Li, Dan Zhang and Guanrong Chen

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Abstract

At ISNN’04, a novel symmetric cipher was proposed, by combining a chaotic signal and a clipped neural network (CNN) for encryption. The present paper analyzes the security of this chaotic cipher against chosen-plaintext attacks, and points out that this cipher can be broken by a chosen-plaintext attack. Experimental analyses are given to support the feasibility of the proposed attack.

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