Image encryption scheme based on 2D-DuffLog map and DNA encoding
Kuan Wai Wong, Bok‐Min Goi, Wun‐She Yap, Denis Chee-Keong Wong · 2025
Many existing chaos-based image encryption schemes suffer from the limitations of short cycle lengths in chaotic maps when implemented on finite precision computing devices and insufficient sensitivity to changes in the plaintext image. To address these issues, this paper proposes a novel image encryption algorithm that integrates a newly designed chaotic map, 2D-DuffLog map, DNA encoding, and AES-CTR encryption to enhance security and robustness. The chaotic map exhibits superior dynamic properties, generating highly random keystreams for encryption. The encryption process begins with SHA-256-based key initialization, followed by DNA encoding and operations, including DNA addition and DNA XOR, to improve confusion and diffusion. AES-CTR encryption is then applied to further strengthen security by preventing unauthorized decryption. The security analysis demonstrates that our scheme effectively generates cipher images with uniform pixel distributions, minimal statistical correlations, and strong sensitivity to both the plaintext and the encryption keys. With a large key space and a high resistance to differential attacks, the proposed scheme guarantees secure image transmission and storage.