VLSI Implementation of Optimized 2D SIMM Chaotic Map for Image Encryption

The current research work proposed a novel optimization-based 2D-SIMM (Two-Dimensional Sine Iterative chaotic map with infinite collapse Modulation Map) model for image encryption. is derived out of sine and Chaotic Map Infinite Collapse (ICMIC). In this technique, scrambling effect achieved the help Shift Transform (CST). used to change value pixels in input while substituted cyclically shifted according sequence generated by model. These sequences, using model, are sensitive initial conditions. algorithm, these conditions optimized JAYA optimization algorithm. Correlation coefficient entropy considered as fitness functions study evaluate best solution simulation results clearly shows that algorithm better performance over existing algorithms. addition, VLSI implementation was also carried Xilinx system generator. With optimization, correlation ?0.014096 without it 0.002585.