Related references
Note: Only part of the references are listed.Detecting False Data Injection Attacks in Smart Grids: A Semi-Supervised Deep Learning Approach
Ying Zhang et al.
IEEE TRANSACTIONS ON SMART GRID (2021)
Application of data-driven attack detection framework for secure operation in smart buildings
Mariam Elnour et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Smart Grid Vulnerability and Defense Analysis Under Cascading Failure Attacks
Tu N. Nguyen et al.
IEEE TRANSACTIONS ON POWER DELIVERY (2021)
Adversarial Semi-Supervised Learning for Diagnosing Faults and Attacks in Power Grids
Maryam Farajzadeh-Zanjani et al.
IEEE TRANSACTIONS ON SMART GRID (2021)
Smart Grid Cyber-Physical Attack and Defense: A Review
Hang Zhang et al.
IEEE ACCESS (2021)
A Deviation-Based Detection Method Against False Data Injection Attacks in Smart Grid
Chao Pei et al.
IEEE ACCESS (2021)
Cyber-Physical Energy Systems Security: Threat Modeling, Risk Assessment, Resources, Metrics, and Case Studies
Ioannis Zografopoulos et al.
IEEE ACCESS (2021)
A Survey on the Detection Algorithms for False Data Injection Attacks in Smart Grids
Ahmed S. Musleh et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
Tanveer Ahmad et al.
Sustainable Cities and Society (2020)
Detection of False Data Injection Attacks in Smart Grids Based on Graph Signal Processing
Elisabeth Drayer et al.
IEEE SYSTEMS JOURNAL (2020)
Ensuring cybersecurity of smart grid against data integrity attacks under concept drift
Mostafa Mohammadpourfard et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
A Graphical Probabilistic Representation for the Impact Assessment of Wind Power Plants in Power Systems
Omar Beltran Valle et al.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY (2020)
A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids
Nikolaos Sapountzoglou et al.
APPLIED ENERGY (2020)
Survey of machine learning methods for detecting false data injection attacks in power systems
Ali Sayghe et al.
IET SMART GRID (2020)
Surveys on the reliability impacts of power system cyber-physical layers
Bilkisu Jimada-Ojuolape et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
A Novel Equivalent Model of Active Distribution Networks Based on LSTM
Chao Zheng et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Tri-objective optimal scheduling of smart energy hub system with schedulable loads
Heydar Chamandoust et al.
JOURNAL OF CLEANER PRODUCTION (2019)
A survey on cybersecurity, data privacy, and policy issues in cyber-physical system deployments in smart cities
Hadi Habibzadeh et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
A Fast, Decentralized Covariance Selection-Based Approach to Detect Cyber Attacks in Smart Grids
Ramin Moslemi et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
Online False Data Injection Attack Detection With Wavelet Transform and Deep Neural Networks
James J. Q. Yu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
A statistical unsupervised method against false data injection attacks: A visualization-based approach
Mostafa Mohammadpourfard et al.
EXPERT SYSTEMS WITH APPLICATIONS (2017)
Effects of Switching Network Topologies on Stealthy False Data Injection Attacks Against State Estimation in Power Networks
Shaocheng Wang et al.
IEEE SYSTEMS JOURNAL (2017)
CCPA: Coordinated Cyber-Physical Attacks and Countermeasures in Smart Grid
Ruilong Deng et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism
Youbiao He et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
Machine Learning Methods for Attack Detection in the Smart Grid
Mete Ozay et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Cooperative Strategy for Optimal Management of Smart Grids by Wavelet RNNs and Cloud Computing
Christian Napoli et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System
Yan Xu et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
Impact analysis of false data injection attacks on power system static security assessment
Jiongcong Chen et al.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2016)
False Data Injection Attacks against State Estimation in Electric Power Grids
Yao Liu et al.
ACM TRANSACTIONS ON INFORMATION AND SYSTEM SECURITY (2011)
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education
Ray Daniel Zimmerman et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2011)
Share Paper
