In 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.
@article{arxiv.cs/0412103,
title = {Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher},
author = {Chengqing Li and Shujun Li and Dan Zhang and Guanrong Chen},
journal= {arXiv preprint arXiv:cs/0412103},
year = {2007}
}