With rapid growth and use of multimedia signal processing and Internet technology, a number of security issues have also emerged correspondingly in recent years, such as copyright identification, covert communication using multimedia files, copy-move forgery in digital images and videos, and biometric spoofing. Meanwhile, artificial intelligence has been widely studied on solving a variety of difficult problems including multimedia security, such as convolution neural networks for steganalysis and forensics, and generative adversarial networks for coverless steganagraphy. This special issue for intelligent multimedia hiding and forensics focuses on new methods of information hiding and forensics for multimedia data with artificial intelligent techniques, including watermarking, steganography, multimedia hashing, forensics, copyright protection, and privacy preserving, which have been a comparatively hot topic with great value in multimedia security community. The research on intelligent multimedia hiding and forensics is of great significance for fighting against the illegal and criminal activities on Internet.
Currently, although many multimedia content security techniques have been proposed utilizing the methods in areas like deep learning, signal and image processing in encrypted domain and privacy preserving, nevertheless, there are some notable shortcomings on their performances. On the other hand, current studies for multimedia content security are usually based on strict conditions that are nearly impossible to meet up in real world. Furthermore, high computational complexity of current methods makes it hard to handle big data in cloud computing environment. Therefore, the topic of intelligent multimedia hiding and forensics deserves in-depth investigation, which is important in both academia and industry.
Topics of Interest
This special issue aims to bring together researchers in the fields of intelligent multimedia hiding and forensics that can be used for multimedia content security, and it will include a number of related topics, demonstrate pioneer works, investigate novel solutions and discuss future trends in these fields. Possible topics for manuscripts submitted to this special issue include, but are not limited to:
- Intelligent steganography for multimedia using convolutional neural networks
- Intelligent steganalysis for multimedia based on deep learning
- Coverless data hiding for multimedia using generative model
- Multimedia hashing based on deep learning
- Multimedia forensics based on deep learning
- Multimedia anti-forensics using adversarial networks
- Robust, fragile and semi-fragile watermarking for multimedia
- Reversible data hiding for multimedia
- Intelligent multimedia signal processing in encrypted domain
- Tampering detection in multiple operator chains
- Visual cryptography and secret image sharing
- Multimedia fingerprinting and traitor tracing
- Multimedia privacy-preserving techniques
- Multimedia security on network protocol
- Intelligent analysis for covert communication and surveillance
Important Dates
Deadline of manuscript submission: April 30, 2020
Guest Editors
Prof. Chuan Qin
University of Shanghai for Science and Technology, China
qin@usst.edu.cn
Prof. Jinwei Wang
Nanjing University of Information Science & Technology, China
wjwei@nuist.edu.cn
Prof. Xiangyang Luo
Zhengzhou Information Science and Technology Institute, China
xiangyangluo@126.com
Prof. Florent Retraint
University of technology of Troyes, France
florent.retraint@utt.fr
Prof. Yun-Qing Shi
New Jersey Institute of Technology, USA
shi@njit.edu