Data hiding is the science and art of imperceptibly embedding some secret data, e.g., marks or messages, into a host media. The secret data are detected and extracted at a receiving end for various purposes. Data hiding has been the topic of tremendous research efforts during the past decade from both academia and industry for a diverse range of applications such as media copyright protection, content authentication, digital rights management, media system monitoring, and covert communications.
Recently, the advancements of information technology have unveiled the great potential and a blueprint of the highly connected future world in terms of cloud computing, big data, and Internet of Things (IoT). In tomorrow’s communication networks and data sharing systems, data hiding systems are facing new challenges under the increasing demands on the system’s imperceptibility, robustness, capacity, security, privacy, etc. Therefore, there is an urgent need for i) understanding the latest developments of data hiding technologies and ii) exploring emerging research opportunities, challenges, and applications of data hiding technology as an important component in the future digital world.
The goal of this Special Section in IEEE Access is to collect articles that describe various aspects, improvements, and latest advances of data hiding systems. It will bring together researchers and practitioners from different research fields including but not limited to data hiding, cryptography, and signal processing, etc., to explore emerging technologies and applications for future multimedia systems.
Topics of interest include, but are not limited to the theory or system design for:
- Latest advances of data hiding in multimedia (text, image, video, audio, etc.)
- Reversible data hiding and applications
- Integration of watermarking and cryptography
- Data hiding in communication networks
- Data hiding in other domains
- Forensic aspects of data hiding systems
- Security and privacy issues of data hiding systems
- Feature based data hiding systems
- Emerging applications of data hiding in big data, cloud computing, and IoT
Submissions are due March 31, 2016.
Guest Editors:
- Jiwu Huang, Shenzhen University, China, jwhuang@szu.edu.cn
- Fernando Pérez-González, University of Vigo, Spain, fperez@gts.uvigo.es
- Guang Hua, Nanyang Technological University, Singapore, ghua@ntu.edu.sg
- Hafiz Malik, The University of Michigan–Dearborn, USA, hafiz@umich.edu
Paper submission: Contact Associate Editor and submit manuscript to: http://mc.manuscriptcentral.com/ieee-access
For information regarding IEEE Access including its publication policy and fees, please visit the website http://www.ieee.org/ieee-access
For inquiries regarding this Special Section, please contact: Bora M. Onat, Managing Editor, IEEE Access (Phone: (732) 562-6036, ieeeaccess@ieee.org)
