A taxonomy of cyber defence strategies against false data attacks in smart grids

HT Reda, A Anwar, AN Mahmood, Z Tari - ACM Computing Surveys, 2023 - dl.acm.org
The modern electric power grid, known as the Smart Grid, has fast transformed the isolated
and centrally controlled power system to a fast and massively connected cyber-physical …

Improved-ELM method for detecting false data attack in smart grid

L Yang, Y Li, Z Li - International Journal of Electrical Power & Energy …, 2017 - Elsevier
Power grid is a complex system which closely links the power generation and power
consumer through transmission and distribution networks. With the development of smart …

[HTML][HTML] FedDiSC: A computation-efficient federated learning framework for power systems disturbance and cyber attack discrimination

MA Husnoo, A Anwar, HT Reda, N Hosseinzadeh… - Energy and AI, 2023 - Elsevier
With the growing concern about the security and privacy of smart grid systems, cyberattacks
on critical power grid components, such as state estimation, have proven to be one of the top …

Physical invariant based attack detection for autonomous vehicles: Survey, vision, and challenges

F Akowuah, F Kong - 2021 Fourth International conference on …, 2021 - ieeexplore.ieee.org
Automobiles continue to become more autonomous and connected as increasingly
integrating with information technology. Meanwhile, this advance also comes with a higher …

Anomaly detection and resilience-oriented countermeasures against cyberattacks in smart grids

H Shahinzadeh, A Mahmoudi, J Moradi… - 2021 7th …, 2021 - ieeexplore.ieee.org
Security in smart grids has been investigated by many scholars so far. Among the existing
security issues, False Data Injection (FDI) attacks in energy, computers, and communication …

Anomaly detection and identification for multiagent systems subjected to physical faults and cyberattacks

Y Li, H Fang, J Chen - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
This article investigates the anomaly detection and identification problem for multiagent
systems subjected to both physical faults in facilities and false-data-injection attacks in …

A new approach for machine learning-based fault detection and classification in power systems

HA Tokel, R Al Halaseh, G Alirezaei… - 2018 IEEE power & …, 2018 - ieeexplore.ieee.org
The detection and classification of faulty conditions in power systems is a task of crucial
importance for a reliable operation. Recently, the use of high-resolution synchronized …

Bayesian network model to distinguish between intentional attacks and accidental technical failures: a case study of floodgates

S Chockalingam, W Pieters, A Teixeira, P van Gelder - Cybersecurity, 2021 - Springer
Water management infrastructures such as floodgates are critical and increasingly operated
by Industrial Control Systems (ICS). These systems are becoming more connected to the …

Explainable artificial intelligence for smart grid intrusion detection systems

A Yayla, L Haghnegahdar, E Dincelli - IT Professional, 2022 - ieeexplore.ieee.org
A popular approach to overcome the complexity of cybersecurity and sophistication of cyber
attacks is implementing artificial intelligence (AI)-based security controls that integrate …

An active approach for isolating replay attack from sensor faults

M Ramadan, F Abdollahi - European Journal of Control, 2023 - Elsevier
In this paper, a new approach for isolating sensor faults from replay attack in the presence of
model uncertainties, based on Unknown Input Observer (UIO) and Luenberger observer is …