Digital Forensics and Watermarking - 17th International Workshop, IWDW 2018, Jeju Island, Korea, October 22-24, 2018, Proceedings

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. 

List of 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.

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. 

Product details

• Assisted by: Hyoung Joong Kim et al (Editor), Gwangsu Kim (Editor), Hyoung Joon Kim (Editor), Hyoung Joong Kim (Editor), Alessandro Piva (Editor), Yun-Qin Shi (Editor), Yun-Qing Shi (Editor), Chang D. Yoo (Editor), Chang Dong Yoo (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 01.01.2019
• EAN: 9783030113889
• ISBN: 978-3-0-3011388-9
• No. of pages: 392
• Dimensions: 160 mm x 23 mm x 237 mm
• Weight: 622 g
• Illustrations: XI, 392 p. 167 illus., 101 illus. in color.
• Series: Lecture Notes in Computer Science; Security and Cryptology; Lecture Notes in Computer Science; Security and Cryptology
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT