Research on Image Encryption Algorithms Based on a Three-dimensional Discrete Chaotic System and Bidirectional Adaptive Diffusion
(Wuhu Vocational Technical University, Wuhu 241003, China)
Abstract
To address privacy leakage risks associated with the network transmission and storage of color images, this research introduces a three-dimensional discrete chaotic system to design an encryption scheme. This system generates chaotic sequences, which are then subjected to high-precision scaling and rounding to construct key and control streams. The image is unfolded into a one-dimensional sequence, and global sorting permutation is applied to disrupt pixel correlations. This is combined with bidirectional adaptive operator jump diffusion to enhance the encryption effectiveness. Experiments demonstrate that the algorithm enables lossless encryption and decryption, with a uniform ciphertext histogram, correlation between adjacent pixels approaching 0.01, and information entropy approaching 7.99. It effectively safeguards the privacy of color images and meets practical encryption requirements.
Keywords
image encryption; 3D chaotic system; color image; operator hopping
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Funding
Key Project of Natural Science Research in Anhui Province (2023AH052392); Wuhu Vocational and Technical College level Research Project (wzyzrzd202405); Wuhu Vocational and Technical College Key Research Project "Research and Design of Automotive Intrusion Detection System Based on Internet of Vehicles" (wzyzrzd202404); Provincial Quality Engineering of Higher Education Institutions (2022jxzyk048); Key Project of Natural Science Research in Anhui Province (2023AH052387)
About the authors
Zhao Yue (1996-), female, Han ethnicity, from Suzhou, Anhui Province, teaching assistant, master's student, research direction: image encryption; Dai Yawen (1997-), female, Han ethnicity, from Wuhu, Anhui Province, lecturer, master's student, research direction: natural language processing; Zhou Jiawen (1993-), male, Han nationality, from Wuhu, Anhui Province, lecturer, doctoral student, research direction: network security.