Encryption-then-embedding-based hybrid data hiding scheme for medical images
Bowen Meng, Xiaochen Yuan, Q. Y. Zhang, Chan‐Tong Lam, Guoheng Huang
Abstract
The smart healthcare system plays a vital role in modern healthcare, facilitating the exchange of Electronic Patient Records (EPR) and improving medical care. Nonetheless, safeguarding the inherent security and confidentiality of EPR data persists as a formidable challenge, demanding rigorous attention and innovative solutions. Digital watermarking safeguards the genuineness and integrity of digital images and is widely employed. In medical imaging, guaranteeing the confidentiality and security of patient data is vital. In this paper, we propose an Encryption-Then-Embedding-Based data hiding scheme for medical images that combines cryptography and watermarking techniques. The proposed technique encrypts the patient information using Advanced Encryption Standard - Galois/Counter Mode (AES-GCM) before embedding. The intensity-based image segmentation method is then used to select the Region of Non-interest (RONI) for embedding the encrypted patient information and the watermark using a Fused Transform-Based Method (FTBM). The experiments conducted in this study utilize a large dataset of medical data, The Cancer Genome Atlas Lung Adenocarcinoma Collection (TCGA-LUAD). The findings of this study demonstrate the efficacy of the proposed technique in safeguarding patient data while simultaneously preserving the quality of medical images. In comparison to existing techniques, the proposed approach demonstrates superior performance in terms of security, authenticity, and integrity.