Data-driven detection of stealth cyber-attacks in dc microgrids
Cyber-physical systems such as microgrids contain numerous attack surfaces in
communication links, sensors, and actuators forms. Manipulating the communication links …
communication links, sensors, and actuators forms. Manipulating the communication links …
A deep learning based cyber attack detection scheme in DC microgrid systems
KS Suprabhath, MVS Prasad… - … on Power Electronics …, 2023 - ieeexplore.ieee.org
In this article, a dual deep neural network (DDNN) based cyber-attack detection and
correction method for direct current microgrids (DCMG) are proposed. DCMG are prone to …
correction method for direct current microgrids (DCMG) are proposed. DCMG are prone to …
An unsupervised cyberattack detection scheme for AC microgrids using Gaussian process regression and one‐class support vector machine anomaly detection
J Choi, B Roshanzadeh… - IET Renewable …, 2023 - Wiley Online Library
This paper addresses the cybersecurity of hierarchical control of AC microgrids with
distributed secondary control. The false data injection (FDI) cyberattack is assumed to alter …
distributed secondary control. The false data injection (FDI) cyberattack is assumed to alter …
Data-driven cyber-attack detection of intelligent attacks in islanded dc microgrids
Y Wan, T Dragičević - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
In this letter, a data-driven cyber-attack detection method for islanded dc microgrids is
proposed. Data are collected by monitoring the behavior of an intelligent attacker who is …
proposed. Data are collected by monitoring the behavior of an intelligent attacker who is …
Cyber–physical anomaly detection for inverter-based microgrid using autoencoder neural network
Contemporary cyber–physical systems have evolved into highly autonomous and distributed
entities, enabled by cutting-edge control frameworks and advanced communication …
entities, enabled by cutting-edge control frameworks and advanced communication …
A stealth cyber-attack detection strategy for DC microgrids
This paper proposes a cooperative mechanism for detecting potentially deceptive cyber
attacks that attempt to disregard average voltage regulation and current sharing in cyber …
attacks that attempt to disregard average voltage regulation and current sharing in cyber …
Vulnerability identification and remediation of FDI attacks in islanded DC microgrids using multiagent reinforcement learning
This article proposes a novel approach to uncover deficiencies of the existing cyber-attack
detection schemes and thereby to serve as a foundation for establishing more reliable …
detection schemes and thereby to serve as a foundation for establishing more reliable …
Decentralized coordinated cyberattack detection and mitigation strategy in DC microgrids based on artificial neural networks
DC microgrids can be considered as cyber-physical systems (CPSs) and they are
vulnerable to cyberattacks. Therefore, it is highly recommended to have effective plans to …
vulnerable to cyberattacks. Therefore, it is highly recommended to have effective plans to …
Detection of false data injection cyberattacks: Experimental validation on a lab-scale microgrid
Instantaneous monitoring of smart microgrids is a crucial task of system operators to ensure
an acceptable level of security and reliability in the system. To this end, modern …
an acceptable level of security and reliability in the system. To this end, modern …
Detection of microgrid cyberattacks using network and system management
Microgrids, as a major domain of smart grids, facilitate the integration of distributed and
renewable energy sources. They are capable of operating autonomously when the …
renewable energy sources. They are capable of operating autonomously when the …