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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Yoo, Chang D. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Shi, Yun-Qing (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kim, Hyoung Joong (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Piva, Alessandro (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Kim, Gwangsu (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Security and Cryptology ; 11378
• Θέματα: 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.

 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. . 

 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.