Title: Artificial neural network based image encryption technique

Authors: Shaimaa Abbas Fahdel Al-Abaidy

Addresses: College of Education for Pure Sciences, University of Baghdad, Ibn al-Haytham, 10071, Iraq

Abstract: Cryptography is used for the information transformation in safety manner. Encryption is the best method to convert the data one form to another. The cipher data cannot be understood by a third person. So to understand these various types of encryption schemes are available. In this present study, various encryptions, decryption techniques and they are proposed using chaotic neural network (CNN). CNN produces the same results in case of same input data. If the applied inputs are same, it is difficult to predict the system's behaviour, which will changes for any small change in input to that system. The objective is efficient use of artificial neural network with chaotic cryptography. With the help of chaotic sequence we found the weights of neural network. They are continuously updated on the basis of the generation of the key in the encryption algorithm. We used the Matlab tool/software to implement the encryption algorithm.

Keywords: ANN; artificial neural network; image processing; cryptography; image encryption; chaotic maps; chaotic cryptosystems; cipher text; plain text.

DOI: 10.1504/IJSOI.2020.108974

International Journal of Services Operations and Informatics, 2020 Vol.10 No.3, pp.181 - 189

Received: 17 Nov 2018
Accepted: 28 Jun 2019
Published online: 13 Aug 2020 *

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