Biomedical security : performance study and analysis

Abstract

This thesis investigates the development of a robust approach for securing medical data through watermarking techniques, with a specific focus on the application of QR code encryption. The research addresses the pressing need for improved security measures in medical data transmission and storage, considering the vulnerability of patient information to unauthorized access and manipulation. Through a comprehensive literature review and analysis of existing methods, the thesis identifies key challenges in medical image watermarking, including limitations in payload capacity, imperceptibility, and robustness against attacks.

To address these challenges, the research proposes a novel watermarking approach that leverages QR code encryption to enhance both security and capacity within medical images. The methodology involves embedding QR code representations of Medical Imaging Test Reports (MITR) into the non-interest regions of medical images using Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) techniques. Evaluation of the proposed method is conducted using performance metrics such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Normalization Coefficient (NC).

The results demonstrate significant improvements in payload capacity, imperceptibility, and security against various attacks compared to existing watermarking methods. The pro- posed approach offers a balance between security requirements and practical considerations, making it suitable for real-world applications in medical data transmission and storage. Overall, this research contributes to advancing the field of medical image watermarking and lays the foundation for future developments in biomedical security