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A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Ahmed, Fawad; Rehman, Muneeb Ur; Ahmad, Jawad; Khan, Muhammad Shahbaz; Boulila, Wadii; Srivastava, Gautam; Lin, Jerry Chun-Wei; Buchanan, William J.

Authors

Fawad Ahmed

Muneeb Ur Rehman

Muhammad Shahbaz Khan

Wadii Boulila

Gautam Srivastava

Jerry Chun-Wei Lin



Abstract

With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. Encrypting large-sized colour images in their original dimension generally results in low encryption/decryption speed along with exerting a burden on the limited bandwidth of the transmission channel. To address the aforementioned issues, a new encryption scheme for colour images employing convolutional autoencoder, DNA and chaos is presented in this paper. The proposed scheme has two main modules, the dimensionality conversion module using the proposed convolutional autoencoder, and the encryption/decryption module using DNA and chaos. The dimension of the input colour image is first reduced from N × M × 3 to P × Q gray-scale image using the encoder. Encryption and decryption are then performed in the reduced dimension space. The decrypted gray-scale image is upsampled to obtain the original colour image having dimension N × M × 3. The training and validation accuracy of the proposed autoencoder is 97% and 95%, respectively. Once the autoencoder is trained, it can be used to reduce and subsequently increase the dimension of any arbitrary input colour image. The efficacy of the designed autoencoder has been demonstrated by the successful reconstruction of the compressed image into the original colour image with negligible perceptual distortion. The second major contribution presented in this paper is an image encryption scheme using DNA along with multiple chaotic sequences and substitution boxes. The security of the proposed image encryption algorithm has been gauged using several evaluation parameters, such as histogram of the cipher image, entropy, NPCR, UACI, key sensitivity, contrast, etc. The experimental results of the proposed scheme demonstrate its effectiveness to perform colour image encryption.

Journal Article Type Article
Acceptance Date Oct 23, 2022
Online Publication Date Feb 25, 2023
Publication Date 2023-06
Deposit Date Nov 8, 2022
Publicly Available Date Feb 25, 2023
Print ISSN 1551-6857
Electronic ISSN 1551-6865
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Volume 19
Issue 3s
Article Number 128
DOI https://doi.org/10.1145/3570165
Keywords autoencoder, chaos, DNA coding, deep learning, colour image encryption, dimensionality reduction
Public URL http://researchrepository.napier.ac.uk/Output/2950741

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