Cryptanalysis of a Cryptographic Algorithm that Utilizes Chaotic Neural Networks

This paper deals with the security and efficiency issues of a cryptographic algorithm which utilizes the principles of Chaotic Neural Network (CNN). The algorithm that we consider is the Delayed CNN-Based Encryption (DCBE), which is an encryption algorithm based on the Delayed CNN. Although the cryptographic algorithm has its own salient characteristics, our analysis show that, unfortunately, the DCBE is not secure since it is not capable of resisting known-plaintext, chosen-plaintext, and chosen-ciphertext attacks. Furthermore, unfortunately, the scheme is not efficient either, because of the large number of iteration steps involved in its implementation.

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