A Synergistic Approach for Enhancing Image Encryption by Implementing Double Random Permutation and Memristive Chaos
Ritu Sharma1, Sunil Kumar2
1Ritu Sharma, Department of Computer Science and Information Technology, Central University of (Haryana), Mahendergar, India.
2Sunil Kumar, Assistant Professor, Department of Computer Science and Information Technology, Central University of (Haryana), Mahendergar, India.
Manuscript received on 16 November 2024 | Revised Manuscript received on 01 December 2024 | Second Revised Manuscript received on 17 March 2025 | Manuscript Accepted on 15 April 2025 | Manuscript published on 30 April 2025 | PP: 5-14 | Volume-14 Issue-4, April 2025 | Retrieval Number: 100.1/ijeat.D457714040425 | DOI: 10.35940/ijeat.D4577.14040425
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The growing academic interest in the secure transmission of optical digital images has led to a surge in awareness of information security within photonics circumstances. This work presents a hybrid encryption strategy based on the memristor hyperchaotic system and a double random transform for pictures in the frequency and spatial domains. This study presents a robust and secure picture encryption technique that combines compressed sensing, double random phase encoding (DRPE), and Lorenz map. We also make doublerandom-phase masks using Lorenz maps, which enhance the unpredictability and key sensitivity, thereby improving the security of the encryption method. Experimental studies utilize a range of performance metrics, such as the PSNR, NPCR, MSE, and SSIM, to show the value of the suggested approach.
Keywords: Image Encryption, Double Random Phase Encoding, Lorenz Maps, Compressed Sensing, Security, Robustness.
Scope of the Article: Information and Data Security