Color image encryption algorithm based on variable parameter improved Sine chaotic mapping and DNA coding XOR scrambling*

Abstract

Abstract With the widespread application and dissemination of digital images in all aspects of life, the need for image information security and privacy protection is becoming increasingly urgent. Image encryption technology plays a crucial role in the field of information security and has garnered significant attention because it can effectively safeguard the privacy and integrity of image data. This study innovatively designed a color image encryption algorithm by combining the Sine chaotic mapping with the trigonometric function Cosine. It utilized the dichotomy idea for segmentation and introduced an improved Sine chaotic mapping (ISCM). By adjusting the parameter combination of ISCM, the complexity of the key space is effectively enhanced. The random chaotic sequence generated by the ISCM is used to control the DNA encoding and decoding process. At the same time, through star scrambling technology, the limitations of the single number of traditional DNA rules are overcome. Color images are confused and scrambled in multiple dimensions, enhancing the security and reliability of the encryption process. This provides a high level of protection for the transmission of image data, reducing the risks of data leakage and tampering. In the analysis of experimental data, the average value of the UACI test data perfectly matches the ideal value of 33.4635%, and the average value of the information entropy analysis data is 7.999 or above. This further verifies the superiority and reliability of this study.