A Fast Multi-Image Encryption Scheme Using Hyperchaotic Map and Parallel Algorithm for Vehicle Detection Applications

To enhance the secure storage and real-time transmission of vehicle images on highways, this study proposes a fast parallel multi-image encryption scheme. First, a dual-memristor exponential map is designed, whose Lyapunov exponents, chaotic attractors, and bifurcation behavior are analyzed, and, based on this, the key stream is used to generate pseudo-random sequences. Subsequently, the acquired multiple vehicle images are subjected to target detection, and all detected vehicle targets are rearranged and divided into blocks. Then, three rounds of parallel diffusion and one round of scrambling operation are applied to the partitioned images, further enhancing plaintext sensitivity and avalanche effect to resist differential attacks. Finally, security analysis shows that the proposed algorithm offers significant advantages in resisting statistical, frequency, entropy, and other common attacks. Moreover, compared with previous studies, it achieves higher encryption speed, averaging 2285.67 KB/s, thus satisfying the security and efficiency requirements for real-time vehicle image data transmission.