An Intelligent Image Encryption Scheme Based on Hyperchaotic Map and Dynamic DNA Encoding

With the increasing use of multimedia data over social networking websites, the use of multimedia security has become popular nowadays. This work proposed an intelligent 4D discrete hyperchaotic map based image encryption scheme along with dynamic DNA encoding. In comparison to other hyperchaotic maps, the adopted 4D hyperchaotic map is more complicated and has a greater chaotic range. In this approach, nearly every encryption phase utilizes the created hyperchaotic sequence. Using the modified Runge–Kutta method based on the trapezoid approach, a 4D hyperchaotic sequence is produced in this work. The modified Runge–Kutta method involves calculating intermediate values at various stages to obtain a more accurate approximation. Here, the input image is first transformed into binary image sequences, and the employed 4D hyperchaotic map then scrambles these sequences globally. This approach employs a 4D discrete hyperchaotic map and a two-point crossover operator to produce a unique session key for every image encryption. Additionally, the suggested system dynamically adds together DNA encoding rules along with a two-point crossover operator to improve diffusion in the system. DNA complementation and algebraic operations (DNA subtraction and DNA addition) are used in the hyperchaotic sequence in order to improve encryption performance and enhance diffusion in the suggested technique. The proposed scheme provides more confusion and diffusion in comparison to the existing similar schemes. The analysis of the proposed scheme’s results demonstrates that it outperforms existing schemes, exhibiting superior average NPCR (99.6%) and Entropy (7.99) values, while also exhibiting resistance against various types of attacks.