Deep Machine Learning Model-Based Cyber-Attacks Detection in Smart Power Systems Energy supply and consumption can be effectively managed while avoiding a number of security risks thanks to modern intelligent energy …
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Attack and defence methods in cyber‐physical power system The power system has evolved from a traditional single energy transmission and conversion system to a complex cyber-physical power system (CPPS) with …
A review of cyber security risks of power systems: from static to dynamic false data attacks The swift advancement of smart grid technology and the growing integration of communication networks …
Developing a Hybrid Intrusion Detection System Using Data Mining for Power Systems Synchrophasor systems offer a vast amount of data for remote power system monitoring and control, addressing the growing …
A Specification-based Intrusion Detection Framework for Cyber-physical Environment in Electric Power System Electric power systems are becoming more vulnerable to cyberattacks and penetration as a result of the introduction of …
Classification of Disturbances and Cyber-Attacks in Power Systems Using Heterogeneous Time Synchronized Data The significance of visualization and situational awareness in power systems cannot be overstated, as the timely detection …
Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access Effective and adaptive interference management is required in next generation wireless communication systems. To address this challenge, Rate-Splitting Multiple Access (RSMA), …
Early detection of type 2 diabetes mellitus using machine learning-based prediction models Most screening tests for T2DM in use today were developed using multivariate regression methods that are often further …
Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date Dataset In recent years, due to the extensive use of the Internet, the number of networked computers has …
Machine Learning Based Framework for Maintaining Privacy of Healthcare Data The Adoption of Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), cloud services, web-based software systems, and other …