Machine learning for cybersecurity in smart grids: A comprehensive review-based study on methods, solutions, and prospects

T Berghout, M Benbouzid, SM Muyeen - International Journal of Critical …, 2022 - Elsevier
Abstract In modern Smart Grids (SGs) ruled by advanced computing and networking
technologies, condition monitoring relies on secure cyberphysical connectivity. Due to this …

Comprehensive survey and taxonomies of false data injection attacks in smart grids: attack models, targets, and impacts

HT Reda, A Anwar, A Mahmood - Renewable and Sustainable Energy …, 2022 - Elsevier
Smart Grid is organically growing over the centrally controlled power system and becoming
a massively interconnected cyber–physical system with advanced technologies of fast …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

A systems and control perspective of CPS security

SM Dibaji, M Pirani, DB Flamholz… - Annual reviews in …, 2019 - Elsevier
The comprehensive integration of instrumentation, communication, and control into physical
systems has led to the study of Cyber-Physical Systems (CPSs), a field that has recently …

State of the art of cyber-physical systems security: An automatic control perspective

YZ Lun, A D'Innocenzo, F Smarra, I Malavolta… - Journal of Systems and …, 2019 - Elsevier
Cyber-physical systems are integrations of computation, networking, and physical
processes. Due to the tight cyber-physical coupling and to the potentially disrupting …

A machine-learning-based technique for false data injection attacks detection in industrial IoT

MMN Aboelwafa, KG Seddik… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The accelerated move toward the adoption of the Industrial Internet-of-Things (IIoT)
paradigm has resulted in numerous shortcomings as far as security is concerned. One of the …

Coordinated attacks on electric power systems in a cyber-physical environment

Y Xiang, L Wang, N Liu - Electric Power Systems Research, 2017 - Elsevier
With increasing terrorism and sabotage activities, the power grid is becoming more
vulnerable to various kinds of cyber and physical attacks. Coordination between the attacks …

Survey of false data injection in smart power grid: Attacks, countermeasures and challenges

S Aoufi, A Derhab, M Guerroumi - Journal of Information Security and …, 2020 - Elsevier
Abstract False Data Injection Attack (FDIA) is one of the most dangerous cyber attacks
against smart power grids, as it could cause severe physical and economic damage. In this …

Review of the false data injection attack against the cyber‐physical power system

Q Wang, W Tai, Y Tang, M Ni - IET Cyber‐Physical Systems …, 2019 - Wiley Online Library
With the development of synchronous measuring technology and communication
technology, the units of measurement, calculation, execution and communication are deeply …

Online generative adversary network based measurement recovery in false data injection attacks: A cyber-physical approach

Y Li, Y Wang, S Hu - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
State estimation plays a critical role in maintaining operational stability of a power system,
which is however vulnerable to attacks. False data injection (FDI) attacks can manipulate the …