| Title: |
Digital Watermarking Using Artificial Intelligence: Concept, Techniques, and Future Trends |
| Authors: |
Dandooh, Azza; El‐Fishawy, Adel S.; Hemdan, Ezz El‐Din |
| Source: |
SECURITY AND PRIVACY ; volume 8, issue 1 ; ISSN 2475-6725 2475-6725 |
| Publisher Information: |
Wiley |
| Publication Year: |
2025 |
| Collection: |
Wiley Online Library (Open Access Articles via Crossref) |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1002/spy2.502 |
| Availability: |
https://doi.org/10.1002/spy2.502; https://onlinelibrary.wiley.com/doi/pdf/10.1002/spy2.502 |
| Rights: |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
| Accession Number: |
edsbas.20C4589 |
| Database: |
BASE |