Arun Kumar Sangaiah;Xizhao Wang;Mohammad S. Obaidat;Patrick C. K. Huang;Kannan Govindan
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Guest Editorial Data-Driven Innovation and Adversarial Learning Models for Industry 5.0 Toward Consumer Digital Ecosystems
In recent years, the integration of advanced technologies such as communication advancements (e.g., 5G), Artificial Intelligence (AI), industrial edge computing, and adversarial Machine Learning (ML) has accelerated the evolution of Industry 5.0 systems, shaping digital ecosystems for consumers. This convergence of technologies holds promise for addressing the service requirements and cybersecurity strategies essential for Industry 5.0 systems within digital ecosystems. Industry 5.0, the fifth industrial revolution, represents a paradigm shift integrating digital ecosystems and emerging technologies like the Internet of Things (IoT), Cyber-Physical Systems (CPS), cloud computing, and AI. These technologies converge to establish intelligent, open, and secure factories, revolutionizing industrial automation and manufacturing processes.
期刊介绍:
The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.