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

CQ Li, SJ Li, D Zhang and GR Chen
Advances in Neural Networks – ISNN 2005 Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II, Vol.LNCS 3, pp.630-636
2nd International Symposium on Neural Networks (ISNN 2005) (Chongqing, China, 30/05/2005 - 01/06/2005)
2005

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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url
http://dx.doi.org/10.1007/11427445_103View
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