Machine learning and deep learning in smart manufacturing: The smart grid paradigm
Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …
through network sensors to the Internet, a huge amount of data is generated. Machine …
Architecture and security of SCADA systems: A review
Pipeline bursting, production lines shut down, frenzy traffic, trains confrontation, the nuclear
reactor shut down, disrupted electric supply, interrupted oxygen supply in ICU–these …
reactor shut down, disrupted electric supply, interrupted oxygen supply in ICU–these …
A unified deep learning anomaly detection and classification approach for smart grid environments
I Siniosoglou, P Radoglou-Grammatikis… - … on Network and …, 2021 - ieeexplore.ieee.org
The interconnected and heterogeneous nature of the next-generation Electrical Grid (EG),
widely known as Smart Grid (SG), bring severe cybersecurity and privacy risks that can also …
widely known as Smart Grid (SG), bring severe cybersecurity and privacy risks that can also …
Ensemble model based on hybrid deep learning for intrusion detection in smart grid networks
U AlHaddad, A Basuhail, M Khemakhem, FE Eassa… - Sensors, 2023 - mdpi.com
The Smart Grid aims to enhance the electric grid's reliability, safety, and efficiency by
utilizing digital information and control technologies. Real-time analysis and state estimation …
utilizing digital information and control technologies. Real-time analysis and state estimation …
[HTML][HTML] Spear siem: A security information and event management system for the smart grid
P Radoglou-Grammatikis, P Sarigiannidis, E Iturbe… - Computer Networks, 2021 - Elsevier
The technological leap of smart technologies has brought the conventional electrical grid in
a new digital era called Smart Grid (SG), providing multiple benefits, such as two-way …
a new digital era called Smart Grid (SG), providing multiple benefits, such as two-way …
A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems
Abstract Presently, Supervisory Control and Data Acquisition (SCADA) systems are broadly
adopted in remote monitoring large-scale production systems and modern power grids …
adopted in remote monitoring large-scale production systems and modern power grids …
IPAL: breaking up silos of protocol-dependent and domain-specific industrial intrusion detection systems
The increasing interconnection of industrial networks exposes them to an ever-growing risk
of cyber attacks. To reveal such attacks early and prevent any damage, industrial intrusion …
of cyber attacks. To reveal such attacks early and prevent any damage, industrial intrusion …
ARIES: A novel multivariate intrusion detection system for smart grid
P Radoglou Grammatikis, P Sarigiannidis… - Sensors, 2020 - mdpi.com
The advent of the Smart Grid (SG) raises severe cybersecurity risks that can lead to
devastating consequences. In this paper, we present a novel anomaly-based Intrusion …
devastating consequences. In this paper, we present a novel anomaly-based Intrusion …
IDS for industrial applications: A federated learning approach with active personalization
Internet of Things (IoT) is a concept adopted in nearly every aspect of human life, leading to
an explosive utilization of intelligent devices. Notably, such solutions are especially …
an explosive utilization of intelligent devices. Notably, such solutions are especially …
A false sense of security? Revisiting the state of machine learning-based industrial intrusion detection
Anomaly-based intrusion detection promises to detect novel or unknown attacks on
industrial control systems by modeling expected system behavior and raising corresponding …
industrial control systems by modeling expected system behavior and raising corresponding …