A cyber incident response and recovery framework to support operators of industrial control systems

A Staves, T Anderson, H Balderstone, B Green… - International Journal of …, 2022 - Elsevier
Over the last decade, we have seen a shift in the focus of cyber attacks, moving from
traditional IT systems to include more specialised Industrial Control Systems (ICS), often …

Ml-based anomaly detection system for der communication in smart grid

M Abdelkhalek, G Ravikumar… - 2022 IEEE Power & …, 2022 - ieeexplore.ieee.org
Growing deployment of DER networks in the smart grid led to a rise in the attack surface
against these systems. Furthermore, DER networks use communication protocols such as …

Poisoning attacks on cyber attack detectors for industrial control systems

M Kravchik, B Biggio, A Shabtai - Proceedings of the 36th Annual ACM …, 2021 - dl.acm.org
Recently, neural network (NN)-based methods, including autoencoders, have been
proposed for the detection of cyber attacks targeting industrial control systems (ICSs). Such …

Practical evaluation of poisoning attacks on online anomaly detectors in industrial control systems

M Kravchik, L Demetrio, B Biggio, A Shabtai - Computers & Security, 2022 - Elsevier
Recently, neural networks (NNs) have been proposed for the detection of cyber attacks
targeting industrial control systems (ICSs). Such detectors are often retrained, using data …

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 …

The virtualized cyber-physical testbed for machine learning anomaly detection: A wind powered grid case study

DL Marino, CS Wickramasinghe, VK Singh… - IEEE …, 2021 - ieeexplore.ieee.org
Develo** tools that help us understand and analyze the effects of cyber attacks on
physical assets is necessary in order to detect and prevent harmful consequences of …

Hil testbed-based auto feature extraction and data generation framework for ml/dl-based anomaly detection and classification

AA Mantha, A Hussain… - 2024 IEEE Power & …, 2024 - ieeexplore.ieee.org
In smart grid operations, sufficient data generation, including events such as faults,
cyberattacks, and perturbations, is one of the key requirements for accurate Machine …

Ml-based anomaly detection system for der dnp3 communication in smart grid

M Abdelkhalek, M Govindarasu - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
The increasing integration of Distributed Energy Resources (DER) networks in the smart grid
highly affects its reliable and secure operation. DER communication protocols such as …

Cps testbed architectures for wampac using industrial substation and control center platforms and attack-defense evaluation

G Ravikumar, B Hyder, JR Babu… - 2021 IEEE Power & …, 2021 - ieeexplore.ieee.org
Advanced persistent threats and cyberattacks can impact wide-area monitoring, protection,
and control (WAMPAC) system operation. Many cyber-physical system (CPS) testbeds have …

Ml-based anomaly detection system for iec 61850 communication in substations

S Bhattacharya, N Saqib… - 2024 IEEE Power & …, 2024 - ieeexplore.ieee.org
IEC 61850-based Substation Automation Systems (SAS) plays a crucial role within the
modern grid as they are responsible for switching, transforming, monitoring, metering, and …