Novel cyber-physical architecture for optimal operation of renewable-based smart city considering false data injection attacks: Digital twin technologies for smart city …

Y Yan, Y Kunhui - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
Smart grid is considered a cyber-physical system, which is a combination of physical
devices and computational processes. Since there are lots of interactions between the cyber …

Intelligent energy cyber physical systems (iECPS) for reliable smart grid against energy theft and false data injection

H Jain, M Kumar, AM Joshi - Electrical Engineering, 2022 - Springer
Abstract The Internet of Things (IoT)-based advanced metering infrastructure (AMI) provides
real-time information from smart meters to both grid operators and customers. The meter …

Optimal scheduling and management of a smart city within the safe framework

Q Duan, NV Quynh, HM Abdullah, A Almalaq… - IEEE …, 2020 - ieeexplore.ieee.org
This paper proposes an enhanced cyber secure energy and data transaction framework for
the optimal operation and management of the smart city. Recently, the concept of smart city …

Deep Learning-based Detection and Mitigation Strategy for Cyber-attacks on Advanced Metering Infrastructure

A Acharya, BR Bhalja - 2024 IEEE International Systems …, 2024 - ieeexplore.ieee.org
Given the direct connection of the distribution system with consumers, cyber-attacks are
unavoidable. Therefore, ensuring the security of the distribution system is of utmost …

Toward detecting cyberattacks targeting modern power grids: A deep learning framework

E Naderi, A Asrari - 2022 IEEE World AI IoT Congress (AIIoT), 2022 - ieeexplore.ieee.org
Modern power and energy networks include a plethora of distributed control and monitoring
equipment, exchanging data through information and communication technology (ICT) …

Safe Operation Management of Urban Smart Grid Based on Deep Learning

H You - Mobile Information Systems, 2022 - Wiley Online Library
The smart grid in the twenty‐first century is constantly innovated by the big data technology
and the Internet of Things (IoT) technology. As the second generation of a power network …

Real-time implementation of IoT-enabled cyberattack detection system in advanced metering infrastructure using machine learning technique

K Naveeda, SMHSS Fathima - Electrical Engineering, 2024 - Springer
The integration of the Internet of Things (IoT) and MultiFunction Energy Meter into the power
grid underscores the critical need for robust cybersecurity measures to manage data …

[PDF][PDF] Ensemble-Learning-Based Decision Support System for Energy-Theft Detection in Smart-Grid Environment. Energies 2023, 16, 1907

F Mohammad, K Saleem, J Al-Muhtadi - 2023 - researchgate.net
Theft of electricity poses a significant risk to the public and is the most costly non-technical
loss for an electrical supplier. In addition to affecting the quality of the energy supply and the …

Cyber-resilient smart cities: Detection of malicious attacks in smart grids

M Mohammadpourfard, A Khalili, I Genc… - Sustainable Cities and …, 2021 - Elsevier
A massive challenge for future cities is being environmentally sustainable by incorporating
renewable energy resources (RES). At the same time, future smart cities need to support …

[HTML][HTML] False data injection attack in smart grid: Attack model and reinforcement learning-based detection method

X Lin, D An, F Cui, F Zhang - Frontiers in Energy Research, 2023 - frontiersin.org
The smart grid, as a cyber-physical system, is vulnerable to attacks due to the diversified and
open environment. The false data injection attack (FDIA) can threaten the grid security by …