[HTML][HTML] Cyber-security of smart microgrids: A survey
In this paper, the cyber-security of smart microgrids is thoroughly discussed. In smart grids,
the cyber system and physical process are tightly coupled. Due to the cyber system's …
the cyber system and physical process are tightly coupled. Due to the cyber system's …
Survey of machine learning methods for detecting false data injection attacks in power systems
Over the last decade, the number of cyber attacks targeting power systems and causing
physical and economic damages has increased rapidly. Among them, false data injection …
physical and economic damages has increased rapidly. Among them, false data injection …
Detection of false data injection attacks in smart grid: A secure federated deep learning approach
As an important cyber-physical system (CPS), smart grid is highly vulnerable to cyber
attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one …
attacks. Amongst various types of attacks, false data injection attack (FDIA) proves to be one …
Cyber-physical energy systems security: Threat modeling, risk assessment, resources, metrics, and case studies
Cyber-physical systems (CPS) are interconnected architectures that employ analog and
digital components as well as communication and computational resources for their …
digital components as well as communication and computational resources for their …
Detecting false data injection attacks in smart grids: A semi-supervised deep learning approach
The dependence on advanced information and communication technology increases the
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …
vulnerability in smart grids under cyber-attacks. Recent research on unobservable false data …
Toward a lightweight intrusion detection system for the internet of things
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
A novel attack detection scheme for the industrial internet of things using a lightweight random neural network
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …
applications, databases, services, and people at work. The IIoT is improving our lives in …
An industrial network intrusion detection algorithm based on multifeature data clustering optimization model
Industrial networks are complex and diverse. Among existing intrusion prevention systems
available, several of them have problems such as low detection accuracy rate, high false …
available, several of them have problems such as low detection accuracy rate, high false …
A hybrid deep learning model for discrimination of physical disturbance and cyber-attack detection in smart grid
K Bitirgen, ÜB Filik - International Journal of Critical Infrastructure Protection, 2023 - Elsevier
A smart grid (SG) consists of an interconnection of an electrical grid, communication, and
information networks. The rapid developments of SG technologies have resulted in complex …
information networks. The rapid developments of SG technologies have resulted in complex …
Locational detection of the false data injection attack in a smart grid: A multilabel classification approach
State estimation is critical to the monitoring and control of smart grids. Recently, the false
data injection attack (FDIA) is emerging as a severe threat to state estimation. Conventional …
data injection attack (FDIA) is emerging as a severe threat to state estimation. Conventional …