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Adaptive Watermarking Algorithms for Multi-User Cloud Environments
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Author(s): Birendra Kumar Saraswat (G.L. Bajaj Institute of Technology and Management, Greater Noida, India), Prakash Joshi (Raj Kumar Goel Institute of Technology, Ghaziabad, India), Ritika (G.L. Bajaj Institute of Technology and Management, Greater Noida, India), Satya Prakash Yadav (Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P. , India)and Harshit Munjal (G.L. Bajaj Institute of Technology and Management, Greater Noida, India)
Copyright: 2026
Pages: 20
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.ch007
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Abstract
Secure and robust ownership authentication of media content assets in large-scale multi-user (public/private) cloud environments is an important and challenging issue. Due to the fact that many cloud systems support the work of many individuals at the same time, the digital assets will be easily accessible, copied, and modified. The classical static-pattern-based traditional watermarking is sometimes insufficient to cope with dynamic threats and variant user demands. A for cloud data Adaptive watermarking algorithms use online data analysis, user behavior profiling, and adaptable embedding techniques to dynamically adjust watermark parameters such as the strength, the embedding domain and the location according to different user profiles and usage patterns on the cloud. We leverage the technique of machine learning and context-aware policies for detecting watermark strength and adapting imperceptibility and robustness in order to achieve reinforcement against various attacks (e.g., collusion, forgery, and removal).
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