Modified Chaotic Map Approach for Medical Record Security
Uma Hombal, R. B. Dayananda, Ashwini Shinde, Manjusha N. Chavan · 2024
Security is a major concern, particularly in the context of medical images. In this study, a Tuned Henon Chaotic encryption system is proposed. This system includes rearranging pixels in many ways, including row-wise and column-wise, in order to reach new places. The performance of the Tuned Henon Chaotic scheme is notably effective in terms of complexity and chaotic substantiality, thereby enhancing overall system security. The metrics utilised to evaluate the quality of image encryption include Pixels Mean Squared Error (PMSE), Signal to Noise Ratio (SNR), Pixels Change Rate (PCR), and Average Changing Intensity (ACI). For PCR and ACI, the values of 99.60% and 33.46%, respectively are considered optimal for effective encryption. The proposed strategy achieved near-optimum results, with UACI at 33.47% and NPCR at 99.60%. Additionally, the PSNR values should be less than 8.38, while MSE values should exceed 9,555. The Tuned Henon Chaotic algorithm meets these criteria, ensuring robust image encryption. We also conducted Histogram analysis and key sensitivity tests. The results of the Tuned Henon Chaotic algorithm were compared with the original Henon Chaotic Map (HCM) algorithm, the Blowfish algorithm, and the Fully Homomorphic Encryption (FHE) algorithm. The comparative study demonstrates that the proposed Tuned Henon Chaotic algorithm offers improved security for images of varying sizes.