Encryption and Decryption Algorithm Based on Lorentz Chaotic System

A MATLAB implementation of encryption and decryption algorithm based on the Lorentz chaotic system has been developed. This algorithm leverages the Lorentz chaotic system as its foundation, utilizing chaotic properties to enhance encryption security. The chaotic system represents a nonlinear dynamic system characterized by high sensitivity and unpredictability, making the encryption-decryption process more complex and resistant to attacks. The implementation involves solving the Lorentz differential equations using numerical methods like Runge-Kutta, generating chaotic sequences that serve as encryption keys. Key functions include chaotic sequence generation, bit-level XOR operations with plaintext, and inverse operations for decryption. By employing this algorithm, sensitive information can be effectively protected, ensuring that only authorized individuals can decrypt and access the content. The code structure typically consists of three main modules: chaotic system parameter initialization, encryption/decryption core functions, and validation routines to verify algorithm correctness.