Presentation Details
The Current Trend of Forensic Image Watermarking
ID：23
View Protection：ATTENDEE
Updated Time：2025-12-29 03:06:50
Hits：418
In-person
Start Time：2025-12-29 15:00（Asia/Amman）
Duration：15min
Session：S3 Track 3: Privacy, Security for Networks »
Abstract
Forensic infrastructures need to exchange data between others and cannot work separately without sharing information. Image forensic techniques play an important role in providing solutions to these challenges. This presents a comprehensive survey of deep learning-based watermarking methods provided that no changes to the information are permitted during the transfer process. The study aims to present the operation of each, analyze the performance of the techniques and provide comparative evaluations including advantages and limitations. The results show the performance of the systems, in terms of robustness, image quality, and capacity. The research highlights that algorithms improve the performance and achieve the security requirements of content authenticity for legal proceedings and public comment that maintaining public trust.
Keywords
authentication; deep learning; forensic infrastructures; image forensic; watermarking
Speaker
Noor Huj Abdulla
PhD student UTAD University of Trás-os-Montes and Alto DouroSubmission Author
All Comments
Important Date
-
Conference Date
Dec 29
2025
toDec 31
2025
-
Dec 20 2025
Draft paper submission deadline
-
Dec 31 2025
Contribution Submission Deadline
-
Dec 31 2025
Registration deadline
Sponsored By
United Societies of Science
Organized By
Zarqa University
Contact Information
- Miss AsianComNet
- as******@usssociety.org
Previous Conferences
-
2024-10-24 Thailand Bangkok
2024 Asian Conference on Communication and Networks
Submit Comment