Digital Watermarking Using Artificial Intelligence: Concept, Techniques, and Future Trends

被引:0
|
作者
Dandooh, Azza [1 ]
El-Fishawy, Adel S. [2 ]
Hemdan, Ezz El-Din [3 ,4 ]
机构
[1] Egyptian Acad Engn & Adv Technol EAE&AT, Dept Elect Engn, Cairo, Egypt
[2] Menoufia Univ, Fac Elect Engn, Dept Elect & Commun, Menoufia, Egypt
[3] Menoufia Univ, Fac Elect Engn, Dept Comp Sci & Engn, Menoufia, Egypt
[4] Prince Sultan Univ, Struct & Mat Res Lab, Riyadh, Saudi Arabia
来源
SECURITY AND PRIVACY | 2025年 / 8卷 / 01期
关键词
artificial intelligence; digital watermarking; machine learning and deep learning; SCHEME; ROBUST;
D O I
10.1002/spy2.502
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
One of the most widely used tools for information security is digital watermarking. Multimedia content, including text, audio, video, and images, frequently uses it. Utilizing watermarking requires different goals. These goals encompass copyright authentication as well as protection. It might be necessary for the watermark to be strong or fragile. Applications requiring copyright authentication must include a fragile watermark. However, copyright protection necessitates a strong watermark. For resolving a variety of intelligence-related issues, machine learning (ML) and deep learning (DL) are solid options. Although it works well for watermarking, it is less effective at more common tasks like regression, classification, and prediction. A thorough analysis of watermarking with popular technologies like artificial intelligence (AI), DL, and ML is presented in this article. A summary of watermarking, background information, and the most interesting applications are also covered.
引用
收藏
页数:15
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