Chaos-Based Image Encryption Using Cellular Automata Rule 30 and Logistic Map
摘要
We develop a new encryption scheme to defend against the secure transmission of digital images, based on structurally rich cryptographic methodologies to further ensure unpredictability and hardness. Validation on standard images was successfully carried out using the method to contrast with former techniques. Evaluation of key metrics like information entropy, NPCR, UACI, MSE, PSNR, and Correlation Coefficient. As a result, the proposed method produces satisfactory information entropy (7.9931 bits) and stronger pixel randomization with 99.46% NPCR, 32.0078% UACI along with small MSE and PSNR value expressing strong encryption with few noise. The low correlation coefficients in every direction indicate a very good decorrelating behavior from the pixel relationships and hence the improved security. The proposed algorithm is shown to greatly exceed the state of the art and is very well suited to secure image transmission in data science applications and cryptography, etc.