A Dual-Layer Image Encryption Framework Using Chaotic AES with Dynamic S-Boxes and Steganographic QR Codes

• URL: http://arxiv.org/abs/2506.13895v1
• Date: Mon, 16 Jun 2025 18:16:14 GMT
• Title: A Dual-Layer Image Encryption Framework Using Chaotic AES with Dynamic S-Boxes and Steganographic QR Codes
• Authors: Md Rishadul Bayesh, Dabbrata Das, Md Ahadullah,
• Abstract summary: This paper presents a robust image encryption and key distribution framework.<n>It integrates an enhanced AES-128 algorithm with chaos theory and advanced steganographic techniques.<n>It offers a scalable, secure solution for sensitive image transmission in applications such as surveillance, medical imaging, and digital forensics.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: This paper presents a robust image encryption and key distribution framework that integrates an enhanced AES-128 algorithm with chaos theory and advanced steganographic techniques for dual-layer security. The encryption engine features a dynamic ShiftRows operation controlled by a logistic map, variable S-boxes generated from a two-dimensional Henon map for substitution and key expansion, and feedback chaining with post-encryption XOR diffusion to improve confusion, diffusion, and key sensitivity. To address secure key delivery, the scheme introduces dual-key distribution via steganographically modified QR codes. A static key and an AES-encrypted dynamic session key are embedded with a covert hint message using least significant bit (LSB) steganography. This design ensures the dynamic key can only be decrypted after reconstructing the static key from the hidden message, offering multi-factor protection against interception. Experimental results demonstrate the framework outperforms existing chaos-based and hybrid AES methods, achieving near-ideal entropy (7.997), minimal pixel correlation, and strong differential resistance with NPCR (>99.6%) and UACI (50.1%). Encrypted images show uniform histograms and robustness against noise and data loss. The framework offers a scalable, secure solution for sensitive image transmission in applications such as surveillance, medical imaging, and digital forensics, bridging the gap between cryptographic strength and safe key distribution.

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