English

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

Cryptography and Security 2025-06-18 v1

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.

Keywords

Cite

@article{arxiv.2506.13895,
  title  = {A Dual-Layer Image Encryption Framework Using Chaotic AES with Dynamic S-Boxes and Steganographic QR Codes},
  author = {Md Rishadul Bayesh and Dabbrata Das and Md Ahadullah},
  journal= {arXiv preprint arXiv:2506.13895},
  year   = {2025}
}

Comments

24 pages (including references), 14 figures. Submitted to a journal for publication

R2 v1 2026-07-01T03:20:30.228Z