A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …

The smart city vision has driven the rapid development and advancement of interconnected
technologies using the Internet of Things (IoT) and cyber-physical systems (CPS). In this …

Deep learning methods can not only detect false data injection attacks (FDIA) but also locate
attacks of FDIA. Although adversarial false data injection attacks (AFDIA) based on deep …

Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

With the continuous occurrence of cybersecurity incidents, network intrusion detection has
become one of the most critical issues in cyber ecosystems. Although previous machine …

Intrusion detection technology can actively detect abnormal behaviors in the network and is
important to the security of Industrial Internet of Things (IIOT). However, there are some …

This survey explores applications of explainable artificial intelligence in manufacturing and
industrial cyber–physical systems. As technological advancements continue to integrate …

Internet of Things (IoT) is an important technology employed in a variety of different
applications, such as transportation, healthcare, and manufacturing. In recent years, the …

The present electric power system is seeing a significant transition towards the adoption of
Smart Grids (SGs), which are viewed as a potential approach to improve grid stability and …

The advent of federated learning has facilitated large-scale data exchange amongst
machine learning models while maintaining privacy. Despite its brief history, federated …