Guest Editorial: Security and Privacy in 5G-Enabled Industrial IoT Current Progress and Future Challenges

THE Industrial Internet of Things (IIoT) is the term used to describe intelligent sensors and actuators to digitalize actual industrial and manufacturing processes and implement data-driven automation and control. The IIoT is projected to open up hitherto unheard of prospects for value generation in the industry because it is one of the foundational and enabling technologies of the Industry 4.0 initiative. In the meantime, 5G, a highly anticipated cellular network, is expected to serve as the foundation for the IIoT and exhibits great promise by integrating cutting-edge technologies, such as artificial intelligence, edge computing, augmented reality, and virtual reality, among others, to create smart and intelligent IIoT ecosystems and significantly improve the entire industrial process. However, the inclusion of new embedded technologies and connected networking advancements in the automation and monitoring processes double the functional complexities of the underlying control system while raising hazards to system security and data privacy. The security and privacy of the 5G-enabled IIoT, thus, assume utmost significance. Even though researchers from all over the world have begun to focus on this subject and the associated fields of cyber-physical system security and industrial network security, several challenges still need to be resolved. Current public and open infrastructures in IIoT face more targeted attacks, such as ransomware for smart devices and data theft from wearable devices. As a matter of fact, serious physical damages and privacy data leaks can be induced by malware as they can access the critical physical system controllers, such as energy and transport management systems. In this special issue, we have considered a large spectrum of research papers to cover the relevant security and privacy issues in 5G-enabled IIoT, such as cyber-attacks on industrial control systems, critical data protection, situational awareness, incident responsiveness, and system resilience. Approximately 40 contributions were received and peer-reviewed, of which ten were selected for publication as a part of this special issue. In [A1], Chen and Wu proposed a 5G-enabled secure automatic identification system. The security mechanism of the proposed system can detect malicious attacks from the Dynamic Domain Name System and radio jamming attacks. In addition, the network security mechanism proposed in this article can safeguard data reliability and safety, enabling vessels to detect collisions in 21 the front and improve safety through the 5G