📅 29 August 2026
DOI: 10.26877/asset.v8i4.3085
Lightweight Dual-Layer Chaotic Image Encryption Using Arnold Cat Map and Henon Zigzag Diffusion
Advance Sustainable Science, Engineering and Technology (ASSET)
Universitas Persatuan Guru Republik Indonesia Semarang
📄 Abstract
Digital image transmission over open networks raises significant security concerns due to the high correlation and predictable statistical properties of image data. Existing chaotic encryption schemes based on Arnold Cat Map (ACM) and Henon mapping often suffer from high computational cost, parameter sensitivity, or reliance on complex multi-stage designs. To address these limitations, this study proposes a lightweight dual-layer chaotic image encryption framework that integrates ACM-based pixel permutation with Henon Zigzag diffusion. The first layer applies ACM to disrupt spatial correlations, while the second layer embeds a Henon-based chaotic sequence into a zigzag traversal to enhance both confusion and diffusion. Experimental results demonstrate that the proposed method achieves strong security performance, with an average PSNR of 8.40 dB for cipher images, UACI of 33.67%, NPCR of 99.71%, and near-zero correlation coefficients across RGB channels, while maintaining a low average execution time of 1.80 s. These results indicate that the method produces highly randomized cipher images with strong resistance to statistical and differential attacks. Furthermore, the reduced computational complexity highlights its suitability as a lightweight and efficient solution for secure multimedia transmission in practical digital communication systems.
🔖 Keywords
#Arnold Cat Map; Digital Data Protection; Henon Zigzag; Image Encryption; Super Encryption
ℹ️ Informasi Publikasi
Tanggal Publikasi
29 August 2026
Volume / Nomor / Tahun
Tahun 2026
📝 HOW TO CITE
Umam, Chaerul; Abdussalam, Abdussalam; Nursetyo, Arif; Sugiarto, Bambang; Islam, Husain Md Mehedul, "Lightweight Dual-Layer Chaotic Image Encryption Using Arnold Cat Map and Henon Zigzag Diffusion," Advance Sustainable Science, Engineering and Technology (ASSET), Aug. 2026.
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