Analysis of cyber security attacks and its solutions for the smart grid using machine learning and blockchain methods

T Mazhar, HM Irfan, S Khan, I Haq, I Ullah, M Iqbal… - Future Internet, 2023 - mdpi.com
Smart grids are rapidly replacing conventional networks on a worldwide scale. A smart grid
has drawbacks, just like any other novel technology. A smart grid cyberattack is one of the …

[HTML][HTML] Industrial cyber-physical systems protection: A methodological review

R Canonico, G Sperlì - Computers & Security, 2023 - Elsevier
Ubiquitous utilization of Information and Communication Technologies in modern
manufacturing plants has transformed them into Cyber-Physical Systems (CPSs), making …

Experimental validation of a remedial action via Hardware-in-the-Loop System against cyberattacks targeting a lab-scale PV/Wind Microgrid

E Naderi, A Asrari - IEEE Transactions on Smart Grid, 2023 - ieeexplore.ieee.org
This paper experimentally validates the effectiveness of a primary/backup framework in
preventing/mitigating the impacts of false data injection (FDI) cyberattacks targeting a lab …

False data injection threats in active distribution systems: A comprehensive survey

MA Husnoo, A Anwar, N Hosseinzadeh… - Future Generation …, 2023 - Elsevier
With the proliferation of smart devices and revolutions in communications, electrical
distribution systems are gradually shifting from passive, manually-operated and inflexible …

Localizing false data injection attacks in smart grid: A spectrum-based neural network approach

S Peng, Z Zhang, R Deng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Smart grid is confronted with cyberattacks due to the increasing dependence on cyberspace.
False data injection attacks (FDIAs) represent a major type of cyberattacks that cannot be …

Optimal dos attack scheduling for cyber–physical systems with channel hopping scheme

XH Liu, J Dong, GH Yang - IEEE Transactions on Systems …, 2023 - ieeexplore.ieee.org
In this article, the optimal denial-of-service (DoS) attack scheduling problem for multichannel
cyber–physical systems (CPSs) from the attackers' perspective is investigated, where state …

What is your next invention?—A framework of mining technological development rules and assisting in designing new technologies based on BERT as well as patent …

Z Qiu, Z Wang - Computers in Industry, 2023 - Elsevier
In the past 20 years, with the rapid development of technology, the number of granted
patents has also been increasing over years. How to utilize these data effectively is very …

A deep learning framework to identify remedial action schemes against false data injection cyberattacks targeting smart power systems

E Naderi, A Asrari - IEEE Transactions on Industrial Informatics, 2023 - ieeexplore.ieee.org
This article proposes a remedial action scheme (RAS) based on the concept of deep
learning to mitigate the impacts of false data injection (FDI) cyberattacks on smart power …

EVADE: Targeted Adversarial False Data Injection Attacks for State Estimation in Smart Grid

J Tian, C Shen, B Wang, C Ren, X Xia… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Although conventional false data injection attacks can circumvent the detection of bad data
detection (BDD) in sustainable power grid cyber physical systems, they are easily detected …

Moving target defense of FDIAs for battery energy storage systems in smart distribution networks

Z Liu, Y Li, Q Wang, J Li - Journal of Energy Storage, 2023 - Elsevier
Accurate state of charge (SoC) estimation of battery energy storage systems is essential for
ensuring the security, stability, and economy of smart distribution networks. However, SoC …