Lecture Notes in Computer Science, 2005, Volume 3333/2005, 418-425, DOI: 10.1007/978-3-540-30543-9_53

Cryptanalysis of a Chaotic Neural Network Based Multimedia Encryption Scheme

Chengqing Li, Shujun Li, Dan Zhang and Guanrong Chen

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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.

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