Power grid digitalization introduces new vulnerabilities and cyber security threats. The
impact of cyber attacks on power system stability is a topic of growing concern, which is yet …

This study addresses the problem of ensuring accurate online transient stability prediction in
modern power systems that are increasingly dependent on smart grid technology and are …

In the rapidly advancing domain of smart manufacturing, securing data integrity and
preventing unauthorized access are critical challenges. This study introduces a novel …

Abstract False Data Injection Attacks (FDIAs) pose a serious threat to power systems by
interfering with state estimation and jeopardizing their safety and reliability. Detecting and …

In this paper, a deep learning-based approach is used to analyze short-term voltage stability
of power systems in order to completely learn the hidden timely dependencies from post …

The smart grid is built on an integrated and high-speed communication network, which
renders it more vulnerable to cyber-attacks. False data injection attacks (FDIAs) and sudden …

In recent times, there has been a growing fascination in the blockchain technology (BC),
leading to the development of many applications leveraging its attributes such as …

Real-world cybersecurity applications often encounter challenges posed by noisy images,
necessitating effective denoising techniques for accurate analysis and decision-making …

The cyber security of communication-assisted intelligent relays at the IEC61850-enabled
modern digital substations has become a prime concern among power companies and …

Load Redistribution (LR) attacks operate by adversarial manipulations of load
measurements in electrical power grids. Machine Learning (ML) based detectors have been …