Image Encryption Using A Novel Orbital-Extraction Permutation Technique and Chaotic Key Generation

Khan, Sikandar; Ullah, Safee; Ahmad, Jawad; Ullah, Amjad; Arshad, Arshad; Khan, Muhammad Shahbaz

Abstract

Abstract:
This paper presents an image encryption scheme that introduces a novel permutation technique named as orbital-extraction permutation. The proposed encryption scheme contains three important modules, i.e., the key generation module, the orbital-extraction permutation module, and dynamic chaotic substitution module. The key generation module utilizes the 2D Hénon map, a highly non-linear and unpredictable chaotic map, to generate cryptographic keys. The orbital-extraction permutation module reshuffles the pixels of the plain text image in a complex manner disrupting the inherent correlation within the neighboring pixels of the input image. The proposed permutation technique serves as a strong diffusion stage. Furthermore, for the confusion part of the encryption scheme, bit-XOR operations and chaotic substitution methods have been employed. The proposed scheme has been evaluated for key statistical security parameters. Results indicate the enhanced security and robustness of the proposed scheme with an information entropy of 7.9974 and a correlation coefficient of 0.007.

Citation

Khan, S., Ullah, S., Ahmad, J., Ullah, A., Arshad, A., & Khan, M. S. (2024, July). Image Encryption Using A Novel Orbital-Extraction Permutation Technique and Chaotic Key Generation. Presented at 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP), Sousse, Tunisia

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
• Start Date: Jul 11, 2024
• End Date: Jul 13, 2024
• Online Publication Date: Aug 23, 2024
• Publication Date: 2024
• Deposit Date: Jan 9, 2025
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 414-419
• Series ISSN: 2687-878X
• Book Title: 2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
• DOI: https://doi.org/10.1109/atsip62566.2024.10639043