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

Li, CQ, Li, SJ, Zhang, D and Chen, GR (2005) Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher In: 2nd International Symposium on Neural Networks (ISNN 2005), 2005-05-30 - 2005-06-01, Chongqing, China.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Li, CQUNSPECIFIEDUNSPECIFIED
Li, SJUNSPECIFIEDUNSPECIFIED
Zhang, DUNSPECIFIEDUNSPECIFIED
Chen, GRUNSPECIFIEDUNSPECIFIED
Date : 2005
Identification Number : 10.1007/11427445_103
Contributors :
ContributionNameEmailORCID
PublisherSpringer-Verlag GmbH, UNSPECIFIEDUNSPECIFIED
Related URLs :
Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/11427445_103
Depositing User : Symplectic Elements
Date Deposited : 26 Aug 2015 13:28
Last Modified : 26 Aug 2015 13:28
URI: http://epubs.surrey.ac.uk/id/eprint/532626

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