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

Simple item page
dc.creatorLi, Chengqing
dc.creatorLi, Shujun
dc.creatorZhang, Dan
dc.creatorChen, Guanrong
dc.date2004-12-23
dc.date2007-12-19
dc.date.accessioned2026-07-07T08:50:09Z
dc.date.available2026-07-07T08:50:09Z
dc.descriptionIn 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.
dc.descriptionLNCS style, 7 pages, 1 figure (6 sub-figures)
dc.identifierhttps://arxiv.org/abs/cs/0412103
dc.identifierhttp://arxiv.org/abs/cs/0412103
dc.identifierLecture Notes in Computer Science, vol. 3497, pp. 630-636, 2005
dc.identifierdoi:10.1007/11427445_103
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/144515
dc.subjectCryptography and Security
dc.subjectNeural and Evolutionary Computing
dc.subjectChaotic Dynamics
dc.titleChosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher
dc.typetext

Files

Collections

arXiv