Cyber-attacks are regarded as one of the most serious threats to businesses worldwide.
Organizations dependent on Information Technology (IT) derive value not only from …

The underlying theme of this paper is to explore the various facets of power systems data
through the lens of graph signal processing (GSP), laying down the foundations of the Grid …

This paper proposes a novel adversarial scheme for learning from data under harsh
learning conditions of partially labelled samples and skewed class distributions. This novel …

Sensors such as phasor measurement units (PMUs) endowed with GPS receivers are
ubiquitously installed providing real-time grid visibility. A number of PMUs can cooperatively …

This paper presents a novel data-driven framework to aid in system state estimation when
the power system is under unobservable false data injection attacks. The proposed …

While the quality of the synchronized measurements is of paramount importance for real-
time monitoring and protection of the power grids, collected measurements often contain …

The integration of phasor measurement units (PMUs) and phasor data concentrators (PDCs)
in smart grids may be exploited by attackers to initiate new and sophisticated false data …

This article presents a real-time non-probabilistic approach to detect load-redistribution (LR)
attacks, which attempt to cause an overflow, in smart grids. Prior studies have shown that …

This paper presents a new framework to improve the quality of streaming synchrophasor
measurements with the existence of missing data and bad data. The method exploits the low …

The threat of cyber-attacks poses a considerable risk to Phasor Measurement Unit (PMU)
applications within Cyber-Physical Power Networks (CPPNs), leaving them susceptible to …