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 …

A review of anomaly detection strategies to detect threats to cyber-physical systems

N Jeffrey, Q Tan, JR Villar - Electronics, 2023 - mdpi.com
Cyber-Physical Systems (CPS) are integrated systems that combine software and physical
components. CPS has experienced rapid growth over the past decade in fields as disparate …

Multi-objective scheduling of IoT-enabled smart homes for energy management based on Arithmetic Optimization Algorithm: A Node-RED and NodeMCU module …

D Bahmanyar, N Razmjooy, S Mirjalili - Knowledge-Based Systems, 2022 - Elsevier
The home energy management system (HEMS) based on advanced internet of things (IoT)
technology has attracted the special attention of engineers in the field of smart grid (SG) …

Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach

TT Huong, TP Bac, DM Long, TD Luong, NM Dan… - Computers in …, 2021 - Elsevier
In recent years, the rapid development and wide application of advanced technologies have
profoundly impacted industrial manufacturing, leading to smart manufacturing (SM) …

Cyber threat predictive analytics for improving cyber supply chain security

A Yeboah-Ofori, S Islam, SW Lee… - IEEE …, 2021 - ieeexplore.ieee.org
Cyber Supply Chain (CSC) system is complex which involves different sub-systems
performing various tasks. Security in supply chain is challenging due to the inherent …

[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 …

Evolutionary deep belief network for cyber-attack detection in industrial automation and control system

KD Lu, GQ Zeng, X Luo, J Weng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Industrial automation and control systems (IACS) are tremendously employing supervisory
control and data acquisition (SCADA) network. However, their integration into IACS is …

A review of research works on supervised learning algorithms for SCADA intrusion detection and classification

OA Alimi, K Ouahada, AM Abu-Mahfouz, S Rimer… - Sustainability, 2021 - mdpi.com
Supervisory Control and Data Acquisition (SCADA) systems play a significant role in
providing remote access, monitoring and control of critical infrastructures (CIs) which …

Fuzzy vector reinforcement learning algorithm for generation control of power systems considering flywheel energy storage

L Yin, Y Li - Applied Soft Computing, 2022 - Elsevier
To reduce carbon emissions, the proportion of renewable energy in power systems is
increased. However, the volatility and uncertainty of renewable energy cause power …

Application of AI/IoT for smart renewable energy management in smart cities

P Bedi, SB Goyal, AS Rajawat, RN Shaw… - AI and IoT for smart city …, 2022 - Springer
A city is considered to be smart when the application of Artificial Intelligence (AI) and the
Internet of Things (IoT) is integrated with it. This enables the collection of data from people …