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Digital Watermarking Using Machine Learning and Artificial Intelligence: Methodologies, Challenges, and Future Directions

Digital Watermarking Using Machine Learning and Artificial Intelligence: Methodologies, Challenges, and Future Directions
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Author(s): Nidhi Singh (Teerthanker Mahaveer University, India), Preeti Rani (Teerthanker Mahaveer University, India), Smriti Sachan (G.L. Bajaj Institute of Technology and Management, India), Satya Prakash Yadav (Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, UP, India)and Mohammed Al-Farouni (The Islamic University, Iraq)
Copyright: 2026
Pages: 24
Source title: Digital Watermarking in Cloud Environments For Copyright Protection
Source Author(s)/Editor(s): Ashwani Kumar (School of Computer Science Engineering & Technology, Bennett University, Greater Noida, UP India), Auzuir Ripardo de Alexandria (Instituto Federal de Educação, Ciência e Tecnologia do Ceará (IFCE), Brazil), Satya Prakash Yadav (Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India)and Antonino Galletta (University of Messina, Italy)
DOI: 10.4018/979-8-3373-3785-2.ch012

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Abstract

Digital watermarking has emerged as a major method for protecting multimedia content through copyright protection, authentication, and tamper detection. While conventional watermarking methods are useful, they often struggle to strike a balance between impermeability, robustness, and capacity, particularly in the face of signal processing attacks. As smart algorithms and data-driven methods have evolved, watermarking systems have become more adaptive and secure. The latest algorithms make it easier to embed watermarks in various media types and to enhance resistance to compression, noise, and rotation or scaling using powerful computational tools. This chapter provides an overview of digital watermarking, focusing on classical and computational models, upcoming challenges, and prominent applications. Secondly, it discusses upcoming directions aiming at developing cross-domain, secure and privacy-compliant watermarking solutions to meet the requirements of an evolving digital and smart world.

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