Anomaly detection using bi-directional long short-term memory networks for cyber-physical electric vehicle charging stations

A Hussain, A Yadav… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the increasing integration of electric vehicles (EVs) into the distributed energy
resources (DER) system, the security of EV charging stations (EVCS) from cyber-attacks is …

[HTML][HTML] A framework for anomaly classification in Industrial Internet of Things systems

M Rodríguez, DP Tobón, D Múnera - Internet of Things, 2025 - Elsevier
Abstract Introducing the Industrial Internet of Things (IIoT) into traditional industrial
processes has marked a new era of enhanced connectivity and productivity. By integrating …

Event-Triggered Neural Asynchronous Control of Nonhomogeneous Markov Jump Power Systems with Hybrid Cyberattacks and Unknown States

W Luo, H Chen, G Zong, X Zhao - IEEE Transactions on Power …, 2025 - ieeexplore.ieee.org
This paper studies the observer-based eventtriggered neural asynchronous control problem
of nonhomogeneous Markov jump power systems (MJPSs) under hybrid cyberattacks. Both …

A framework for anomaly classification in Industrial Internet of Things systems

ML Rodríguez López, DP Tobón Vallejo… - 2025 - bibliotecadigital.udea.edu.co
Introducing the Industrial Internet of Things (IIoT) into traditional industrial processes has
marked a new era of enhanced connectivity and productivity. By integrating advanced …

Physics-Informed Intelligent Islanding Detection Method (PI-IIDM) for Cyber-Physical Networked DER-Microgrids

A Hussain, G Ravikumar - Authorea Preprints - techrxiv.org
With the increasing integration of distributed energy resources (DER) into the distributed
power system, the security of the power system from cyber-attacks is paramount. Cyber …

[引用][C] Scenario-based auto data generation framework using hardware-in-the-loop testbed for deep learning-based applications in DER distribution grid

LNAA Mantha - 2024