A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation

Ahmad, Jawad; Khan, Muazzam Ali; Ahmed, Fawad; Khan, Jan Sher

Abstract

Content protection is considered as an important issue in today’s world. Therefore, encryption of such contents is a challenging task for researchers. They are focusing on protection of valuable data such as image, video, and audio against different attacks from eavesdroppers. In this paper, we proposed an enhanced version of Fawad et al.’s scheme to fulfill essential needs of a secure image encryption algorithm. The proposed cryptosystem is resistant against many attacks like brute force, differential and statistical. To quantify the quality of the proposed scheme, instead of visual inspection, the proposed scheme is analyzed through various tests, such as correlation coefficient, information entropy, Number of Pixel Change Rate (NPCR) and Unified Average Change Intensity (UACI). Simulation results of the presented scheme shows good diffusion characteristics when compared to other traditional schemes.

Citation

Ahmad, J., Khan, M. A., Ahmed, F., & Khan, J. S. (2018). A novel image encryption scheme based on orthogonal matrix, skew tent map, and XOR operation. Neural Computing and Applications, 30(12), 3847-3857. https://doi.org/10.1007/s00521-017-2970-3

• Journal Article Type: Article
• Acceptance Date: Mar 24, 2017
• Online Publication Date: Apr 27, 2017
• Publication Date: 2018-12
• Deposit Date: Sep 13, 2019
• Journal: Neural Computing and Applications
• Print ISSN: 0941-0643
• Electronic ISSN: 1433-3058
• Publisher: BMC
• Peer Reviewed: Peer Reviewed
• Volume: 30
• Issue: 12
• Pages: 3847-3857
• DOI: https://doi.org/10.1007/s00521-017-2970-3
• Keywords: Image encryption, Security efficiency, Entropy, DCT, NPCR, UACI
• Public URL: http://researchrepository.napier.ac.uk/Output/2133502