One of the goals of smart environments is to improve the quality of human life in terms of
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …

The smart grid is an unprecedented opportunity to shift the current energy industry into a
new era of a modernized network where the power generation, transmission, and …

The integration of computing and communication capabilities with the power grid has led to
numerous vulnerabilities in the cyber-physical system (CPS). This cyber security threat can …

Machine learning (ML)-based intrusion detection system (IDS) approaches have been
significantly applied and advanced the state-of-the-art system security and defense …

The smart grid is arguably one of the most complex cyber‐physical systems (CPS). Complex
security challenges have been revealed in both the physical and the cyber parts of the smart …

Cyberphysical systems (CPSs) are new class of engineered systems that offer close
interaction between cyber and physical components. The field of CPS has been identified as …

Our work combines aspects of three promising paradigms in machine learning, namely,
attention mechanism, energy-based models, and associative memory. Attention is the power …

Nowadays, analyzing, detecting, and visualizing abnormal power consumption behavior of
householders are among the principal challenges in identifying ways to reduce power …

The generation of the mix-based expansion of modern power grids has urged the utilization
of digital infrastructures. The introduction of Substation Automation Systems (SAS) …

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber
threats. We need to use multiple types of tools and techniques to learn and understand the …