Information Multimedia Hiding & Forensics based on Intelligent Devices

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Guest Editors:

Prof. Xiangyang Luo (corresponding guest editor)
Zhengzhou Science and Technology Institute, China

Prof. Yun-Qing Shi
New Jersey Institute of Technology, USA

Prof. Jinwei Wang
Nanjing University of Information Science & Technology, China

Prof. Qi Liu
Edinburgh Napier University, UK

Prof. Le Sun
Sungkyunkwan University, Korea

Prof. Bo Wang
State University of New York at Buffalo, USA

Call for Papers Announcement

With the rapid growth and use of all the networks, the number of illegal activities increases exponentially. The endangering public safety events engineered by potential lawbreaker for information interaction and hook occur frequently in recent years. Meanwhile, artificial intelligent, especially deep learning has been focused on solving variety of difficult problems. Intelligent multimedia hiding and forensics aim at information hiding and forensics for multimedia by using artificial intelligent techniques, including digital watermarking, steganography, digital forensics, copyright protection, and privacy preserving, which has been a comparatively new field of forensic science with great value. The research on intelligent multimedia hiding and forensics is of great significance for fighting against illegal and criminal in Internet, maintaining social stability. Potential topics include, but are not limited to:

• Intelligent steganography and steganalysis
• Coverless information hiding
• Security of Large Multimedia System
• Multimedia watermarking and detection
• Multimedia forensics and counter-forensics
• Intelligent multimedia processing in encrypted domain
• Intelligent analysis for covert communications and surveillance
• Multimedia security on network protocol
• Multimedia Encryption and Forensic
• Steganography and Steganalysis for Multimedia Data
• Privacy Protection for Multimedia Data
• Signal Processing in the Encrypted Domain
• Multimedia Processing with Secure Deep Learning
• Covert Communications and Surveillance

Paper Submission

Full text submission due date: 25 January, 2019.
Full paper should be submitted online to the journal at
Before submission, authors should carefully read over the instruction for Authors which are located at

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