Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14511)
Included in the following conference series:
Conference proceedings info: IWDW 2023.
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About this book
This book constitutes the refereed post proceedings of the 22nd International Workshop on Digital Forensics and Watermarking, IWDW 2023, held in Jinan, China,
during November 25–26, 2023.
The 22 full papers included in this book were carefully reviewed and selected from 48 submissions. The workshop focuses on subjects such as novel research, development and application of digital watermarking, data hiding, and forensic techniques for multimedia security.
Keywords
- artificial intelligence
- computer networks
- cryptography
- data security
- digital watermarking
- Forensics
- Watermarking
- Encryption
- Security
- IOT
- Multimedia
- Stegnography
- Steganalysis
- Digital forensics
- Reversible Data hiding
- Deep Learning
- Multimedia Security
- Deepfake Generation and Detection
- Information Hiding
- Pose Estimation
Table of contents (22 papers)
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Digital Forensics and Security
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Data Hiding
Other volumes
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Digital Forensics and Watermarking
Editors and Affiliations
Bibliographic Information
Book Title: Digital Forensics and Watermarking
Book Subtitle: 22nd International Workshop, IWDW 2023, Jinan, China, November 25–26, 2023, Revised Selected Papers
Editors: Bin Ma, Jian Li, Qi Li
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-981-97-2585-4
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024
Softcover ISBN: 978-981-97-2584-7Published: 25 April 2024
eBook ISBN: 978-981-97-2585-4Published: 24 April 2024
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 320
Number of Illustrations: 21 b/w illustrations, 96 illustrations in colour
Topics: Cryptology, Numerical Analysis, Image Processing and Computer Vision, Machine Learning, Computer Communication Networks, Computer Systems Organization and Communication Networks