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Digital Forensics and Watermarking : 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings / edited by Chang D. Yoo, Yun-Qing Shi, Hyoung Joong Kim, Alessandro Piva, Gwangsu Kim.
SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online
View online- Format:
- Book
- Series:
- Computer Science (Springer-11645)
- LNCS sublibrary. Security and cryptology ; SL 4, 11378.
- Security and Cryptology ; 11378
- Language:
- English
- Subjects (All):
- Data encryption (Computer science).
- Computer security.
- Computer crimes.
- Optical data processing.
- Coding theory.
- Information theory.
- Artificial intelligence.
- Cryptology.
- Systems and Data Security.
- Computer Crime.
- Image Processing and Computer Vision.
- Coding and Information Theory.
- Artificial Intelligence.
- Local Subjects:
- Cryptology.
- Systems and Data Security.
- Computer Crime.
- Image Processing and Computer Vision.
- Coding and Information Theory.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (XI, 392 pages) : 167 illustrations, 101 illustrations in color.
- Edition:
- First edition 2019.
- Contained In:
- Springer eBooks
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2019.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 17th International Workshop on Digital Forensics and Watermarking, IWDW 2018, held on Jeju Island, Korea, in October 2018. The 25 papers presented in this volume were carefully reviewed and selected from 43 submissions. The contributions are covering the following topics: deep neural networks for digital forensics; steganalysis and identification; watermarking; reversible data hiding; steganographic algorithms; identification and security; deep generative models for forgery and its detection. .
- Contents:
- Deep Neural Networks for Digital Forensics
- Steganalysis and Identification
- Watermarking
- Reversible Data Hiding
- Steganographic Algorithms
- Identification and Security
- Deep Generative Models for Forgery and Its Detection.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-11389-6
- 9783030113896
- Access Restriction:
- Restricted for use by site license.
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