A High-Security Image Encryption Algorithm Based on Chaotic Sequence and Blockchain Technology
Guangfu Wu, Le Huang · 2024
In this paper, we propose a novel two-dimensional exponential cosine chaotic map based on cosine and exponential functions, alongside the design of a highly sensitive color image encryption algorithm. The algorithm utilizes a cross-channel substitution operation derived from chaotic sequences, integrating blockchain technology and the Secure Hash Algorithm 256 (SHA-256) in the diffusion process. These innovative approaches significantly enhance the robustness and security of image encryption. Experimental results demonstrate that the Pearson correlation coefficient is nearly 0, the information entropy reaches 7.9998, the NPCR is 99.6160%, and the UACI is 33.4134%, all of which affirm the superior security of the proposed algorithm and its resilience against various illegal attacks.