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

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

2004-12-23

arxiv.org/abs/cs/0412103v3

Lecture Notes in Computer Science, vol. 3497, pp. 630-636, 2005

Computer Science

Cryptography and Security

LNCS style, 7 pages, 1 figure (6 sub-figures)

Scientific paper

10.1007/11427445_103

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.

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