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Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher | | Chengqing Li
; Shujun Li
; Xiaofeng Liao
; Guanrong Chen
; | | Date: |
23 Dec 2004 | | Journal: | Lecture Notes in Computer Science, vol. 3497, pp. 630-636, 2005 DOI: 10.1007/11427445_103 | | Subject: | Cryptography and Security; Neural and Evolutionary Computing; Chaotic Dynamics | cs.CR cs.NE nlin.CD | | Abstract: | 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. | | Source: | arXiv, cs.CR/0412103 | | Services: | Forum | Review | PDF | Favorites | |
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