Access Control and Security Monitoring of Multimedia Information Processing and Transmission

In the era of big data and multi-connectivity via IoTs, protecting and securing multimedia data has become a real necessity and priority for organizations and businesses, but this can be a rather difficult task due to the heterogeneous nature of platforms and data sets. It is therefore essential to improve the security level of multimedia information by developing core technologies to prevent the loss and damage of information during processing and transmission.

This book covers innovations and future perspectives in access control and security monitoring of multimedia Information processing and transmission. The authors present cybersecurity, privacy and control methods and technologies integrated with blockchain and multimedia AI, including encryption and watermarking techniques, wearable-based IoT security methods, multimedia data forensics and deepfake video security monitoring.

This will be a useful reference for researchers, engineers and scientists in both academia and industry as well as lecturers and advanced students for developing efficient methods, frameworks and techniques for multimedia information processing security and privacy. It will also be of interest to multimedia platform and system developers and designers.

Zhihan Lyu is an associate professor at Uppsala University, Sweden, where he specializes in virtual and augmented reality, computer vision and visualization and the internet of things. He has successfully completed several projects on PC, website, smartphone and smart glasses. Zhihan has two granted patents.

Jaime Lloret is a full professor at the Polytechnic University of Valencia, Spain. He is the chair of the Integrated Management Coastal Research Institute (IGIC). He has authored 15 books and has more than 800 research papers published in national and international conferences, international journals. Since 2016 he has been the Spanish researcher with highest h-index in TELECOMMUNICATIONS. He is included in the world's top 2% scientists according to the Stanford University List since 2020.

Houbing Herbert Song is director of security and optimization for the Networked Globe Laboratory (SONG Lab, http://songlab.us/) and a professor in the Department of Information Systems at the University of Maryland, Baltimore County, USA. His research interests include cyber-physical systems, internet of things, cybersecurity and privacy, AI and machine learning, big data analytics, edge computing, unmanned aircraft systems, connected vehicles, smart and connected health and wireless communications and networking. He is an IEEE fellow.