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 …

Ensuring cybersecurity of smart grid against data integrity attacks under concept drift

M Mohammadpourfard, Y Weng, M Pechenizkiy… - International Journal of …, 2020 - Elsevier
For achieving increasing artificial intelligence in future smart grids, a very precise state
estimation (SE) is required as a prerequisite for many other key functionalities for successful …

A statistical framework for detecting electricity theft activities in smart grid distribution networks

J Tao, G Michailidis - IEEE Journal on Selected Areas in …, 2019 - ieeexplore.ieee.org
Electricity distribution networks have undergone rapid change with the introduction of smart
meter technology, that have advanced sensing and communications capabilities, resulting in …

Cross‐layered distributed data‐driven framework for enhanced smart grid cyber‐physical security

A Starke, K Nagaraj, C Ruben, N Aljohani… - IET Smart …, 2022 - Wiley Online Library
Smart Grid (SG) research and development has drawn much attention from academia,
industry and government due to the great impact it will have on society, economics and the …

Electricity theft detection in the presence of prosumers using a cluster-based multi-feature detection model

A Alromih, JA Clark, P Gope - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Data driven approaches have been widely employed in recent years to detect electricity
thefts. Although many techniques have been proposed in the literature, they mainly focus on …

[HTML][HTML] Research on anomaly detection of wireless data acquisition in power system based on spark

C Pei, S Zhang, X Zeng - Energy Reports, 2022 - Elsevier
In the era of big data, the network data of power system is more and more complex. Due to
the limitation of data storage and processing capacity, the abnormal data detection of power …

Machine learning-based false data injection attack detection and localization in power grids

BP Leao, J Vempati, U Muenz… - … IEEE Conference on …, 2022 - ieeexplore.ieee.org
Cyberattacks on critical infrastructures can be catastrophic and bring nations to their knees.
Therefore, detecting these attacks is crucial and challenging. This paper presents a novel …

A multi agent framework to detect in progress false data injection attacks for smart grid

A Sinha, AR Thukkaraju, OP Vyas - International Conference on Advanced …, 2021 - Springer
With the rapid growth in the use of the internet and the rapid digitization of the energy
services, telecommunication and other critical infrastructures, there is a proportionate growth …

Malware Attack Forecasting by Using Exponential Smoothing

MN Abas, SZA Jalil, SAM Aris - … of the 6th International Conference on …, 2022 - Springer
One of the threats on digital environment is malicious software (malware). Malware can
bring harm to computer system that have connection to the internet. Malware may disclose …