Cryptanalysis of a chaotic neural network based multimedia encryption scheme

Li, CQ, Li, SJ, Zhang, D and Chen, GR (2004) Cryptanalysis of a chaotic neural network based multimedia encryption scheme In: 5th Pacific Rim Conference on Multimedia (PCM 2004), 2004-11-30 - 2004-12-03, Tokyo, Japan.

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Abstract

Recently, Yen and Guo proposed a chaotic neural network (CNN) for signal encryption, which was suggested as a solution for protection of digital images and videos. The present paper evaluates the security of this CNN-based encryption scheme, and points out that it is not secure from the cryptographical point of view: 1) it can be easily broken by known/chosen-plaintext attacks; 2) its security against the brute-force attack was much over-estimated. Some experiments are shown to support the results given in this paper. It is also discussed how to improve the encryption scheme.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Authors :	Name Email ORCID Li, CQ Li, SJ Zhang, D Chen, GR
Date :	2004
DOI :	10.1007/978-3-540-30543-9_53
Contributors :	Contribution Name Email ORCID http://www.loc.gov/loc.terms/relators/PBL Springer-Verlag GmbH,
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	28 Mar 2017 14:42
Last Modified :	31 Oct 2017 14:35
URI:	http://epubs.surrey.ac.uk/id/eprint/532637

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