Image Encryption Scheme in Automatic Systems Based on Dynamic Exchange of Chaotic Systems and Enhancement of LFSR
Tingting Shao, Zhihua Li, Gesong Huang, Fukai Tan, Zhihao Fu, Lijun Wang, Hongchang Ma, Man Zhou · 2025
With the rapid development of automatic systems, the secure transmission and storage of image data are facing severe challenges. Traditional encryption algorithms often cannot effectively handle highly redundant image information. An image encryption scheme based on dynamic exchange of chaotic systems and enhanced linear feedback shift register (LFSR) is proposed. This algorithm innovatively integrates chaotic mapping, dynamically selects the LFSR state for parameter fine-tuning, and generates high-quality chaotic sequences for encryption. It adopts a multi-round encryption structure. In each round, global pixel scrambling is performed based on chaotic sorting, and effective pixel-related bitwise Xor diffusion operations are introduced. These features significantly enhance safety and the avalanche effect. Specifically, for color images, the algorithm adopts the channel differential key adjustment strategy, enhancing the resistance to channel analysis attacks. The results of comprehensive security analysis and performance testing show that this algorithm can effectively resist statistical attacks (Horizontal correlation is −0.0018, information entropy is 7.9992) and differential attacks. This research provides new insights into image security in the context of automatic systems.