Optimized Security Measures: Whale-inspired Manta Ray Foraging Optimization Based Watermarking for Medical Image Data
Saju Subramanian, P. Delphine Mary, A. Suresh Kumar, K. Nandhitha, S. Chinthanai Selvi, K. Swaminathan · 2024
Localization Robust data protection protocols are necessary as the use of 3D imaging techniques in treatment and diagnosis grows. Watermarking is a crucial method in this context. The security and effectiveness of the watermarking techniques currently in use, however, have certain problems. The objective for this research is to find a new approach that can increase the durability of watermarking for 3D medical data as well as fortify defenses against unauthorized access and manipulation. In this paper, we present a novel whale-inspired manta ray foraging optimization (W-MRFO) method for achieving the ideal balance between invisibility and insertion capacity. By refining the watermark insertion process, the system aims to strike a balance between personal and analytic image reliability, taking cues from the agile foraging activities of manta rays and the collaborative actions of whale groups. We evaluate the proposed W-MRFO approach on a comprehensive set of 3D imaging samples. The application of linear discriminant analysis (LDA) to minimize the dimension could reduce inaccuracy. The recommended W-MRFO approach is implemented and the effectiveness of the watermarking is examined, using a Python program. The outcomes demonstrate how well the recommended technique for watermarking clinical images performs, providing robust protection against alteration and unauthorized access.