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 …
A comprehensive survey on the cyber-security of smart grids: Cyber-attacks, detection, countermeasure techniques, and future directions
One of the significant challenges that smart grid networks face is cyber-security. Several
studies have been conducted to highlight those security challenges. However, the majority …
studies have been conducted to highlight those security challenges. However, the majority …
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 …
[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 …
An intelligent and explainable SAAS-based Intrusion Detection System for resource-constrained IoMT
A Aljuhani, A Alamri, P Kumar… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The Internet of Medical Things (IoMT) has revolutionized healthcare, but its vulnerabilities
demand robust security solutions, especially for resource-constrained devices. In this …
demand robust security solutions, especially for resource-constrained devices. In this …
DIDEROT: An intrusion detection and prevention system for DNP3-based SCADA systems
P Radoglou-Grammatikis, P Sarigiannidis… - Proceedings of the 15th …, 2020 - dl.acm.org
In this paper, an Intrusion Detection and Prevention System (IDPS) for the Distributed
Network Protocol 3 (DNP3) Supervisory Control and Data Acquisition (SCADA) systems is …
Network Protocol 3 (DNP3) Supervisory Control and Data Acquisition (SCADA) systems is …
A cyber-physical model for SCADA system and its intrusion detection
Abstract Supervisory Control and Data Acquisition (SCADA) systems are becoming
increasingly susceptible to the sophisticated and targeted cyber attacks which are typically …
increasingly susceptible to the sophisticated and targeted cyber attacks which are typically …
Sdn-based resilient smart grid: The sdn-microsense architecture
The technological leap of smart technologies and the Internet of Things has advanced the
conventional model of the electrical power and energy systems into a new digital era, widely …
conventional model of the electrical power and energy systems into a new digital era, widely …
Present and future of network security monitoring
M Fuentes-García, J Camacho… - IEEE Access, 2021 - ieeexplore.ieee.org
Network Security Monitoring (NSM) is a popular term to refer to the detection of security
incidents by monitoring the network events. An NSM system is central for the security of …
incidents by monitoring the network events. An NSM system is central for the security of …
Intrusion detection using chaotic poor and rich optimization with deep learning model for smart city environment
Artificial intelligence (AI) techniques play a vital role in the evolving growth and rapid
development of smart cities. To develop a smart environment, enhancements to the …
development of smart cities. To develop a smart environment, enhancements to the …