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Digital Watermarking Strategies for Healthcare Data Security: A Comprehensive Review and Analysis

Digital Watermarking Strategies for Healthcare Data Security: A Comprehensive Review and Analysis
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Author(s): Aditi Kumari (Dr. B.C. Roy Engineering College, India), Harshek Madhukar (Dr. B.C. Roy Engineering College, India), Shagufa Ali Haider (Dr. B.C. Roy Engineering College, India), Anandaprova Majumder (Dr. B.C. Roy Engineering College, India)and Sumana Kundu (Dr. B.C. Roy Engineering College, India)
Copyright: 2024
Pages: 12
Source title: Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)
Source Author(s)/Editor(s): Ahdi Hassan (Global Institute for Research Education and Scholarship, The Netherlands), Pronaya Bhattacharya (Amity University, Kolkata, India), Subrata Tikadar (Amity University, Kolkata, India), Pushan Kumar Dutta (Amity University, Kolkata, India)and Martin Sagayam (Karunya Institute of Technology and Sciences, India)
DOI: 10.4018/979-8-3693-2109-6.ch007

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Abstract

This chapter extensively delves into the realm of digital image watermarking, encompassing comparisons with analogous information security methodologies, elucidations of watermark embedding and extraction procedures, discussions on watermark attributes and applications, overviews of prevalent watermarking tactics, and a concise recapitulation of secure watermarking approaches. The primary focus of this discourse lies in advanced strategies for shielding healthcare data using digital watermarking techniques, with special emphasis on the integration of discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD). Recognizing the inherent challenges in safeguarding medical data amidst the dynamic healthcare landscape, the investigation explores multifaceted watermarking algorithms. Leveraging foundational principles from DWT, DCT, and SVD, the study amalgamates prior research and provides comparative evaluations of the efficacy of these methodologies through tabular representations.

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