Privacy image encryption is one of the main protective tools in the face of the contemporary use of images as the main private information carrier and communication medium. Such algorithms usually follow the Confusion-Diffusion construct proposed by Jessica Fridrich, where the image is represented as a noise-like image in terms of visual information through multiple rounds of iterations. 

Chaotic system is a kind of nonlinear dynamical system characterized by strong initial condition sensitivity and unpredictability, and the chaotic sequences generated by its iteration usually have strong pseudo-randomness, which is suitable to be used as a cipher stream in cryptographic operations. 

For chaotic systems, there are four design motivations: 

Chaotic privacy image encryption, on the other hand, utilizes cipher streams generated by chaotic systems for use in image encryption constructs to increase the cracking cost of the algorithms by using high randomness to ensure that the privacy information of the image is protected. We are committed to designing chaotic systems and encryption constructs with better performance to improve the security of private information and build a trusted and secure communication environment. 

We currently focus on symmetric encryption algorithms, typically involving stream cipher encryption, DNA encryption, block ciphers, multi-image encryption, and frequency encryption.