Real Time Stream Mining based Attack Detection in Distribution Level PMUs for Smart Grids (original) (raw)
Related papers
Anomaly Detection and Classification in Streaming PMU Data in Smart Grids
Computer Systems Science and Engineering
Data-Driven Anomaly Detection in Modern Power Systems
Security of Cyber-Physical Systems, 2020
A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids
Energies
Securing Advanced Metering Infrastructure Using Intrusion Detection System with Data Stream Mining
Lecture Notes in Computer Science, 2012
Robust Anomaly based Attack Detection in Smart Grids under Data Poisoning Attacks
Proceedings of the 8th ACM on Cyber-Physical System Security Workshop
Detecting stealthy false data injection using machine learning in smart grid
2013 IEEE Global Communications Conference (GLOBECOM), 2013
Subset Level Detection of False Data Injection Attacks in Smart Grids
False Data Injection Attack Detection in Smart Grid Using Energy Consumption Forecasting
Energies
Learning from power system data stream
2019
Event stream processing for improved situational awareness in the smart grid
Expert Systems with Applications, 2015
International Journal of Computer and Electrical Engineering, 2015
Machine Learning Methods for Attack Detection in the Smart Grid
IEEE Transactions on Neural Networks and Learning Systems, 2015
Data Attacks on Power Grids: Leveraging Detection
Sustainable Energy, Grids and Networks
Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data
13th International Conference on Security of Information and Networks, 2020
Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy, 2017
Two-tier data-driven intrusion detection for automatic generation control in smart grid
2014 IEEE Conference on Communications and Network Security, 2014
Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure
ACM Transactions on Privacy and Security, 2021
IEEE Transactions on Industrial Informatics, 2017
2018
ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid
Emmanouil Panaousis, Panagiotis Radoglou Grammatikis, Georgios Efstathopoulos
Sensors, 2020
Computers & Security, 2020
Pattern Mining and Anomaly Detection based on Power System Synchrophasor Measurements
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018
A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid
Effective Detection of Cyber Attack in a Cyber-Physical Power Grid System
2021
Anomaly detection in electricity cyber infrastructures
Proceedings of the …, 2006
Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study
Energies
A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering
2020 American Control Conference (ACC)
Detection of False Data Injection Attacks in Smart Grids: A Real-Time Principle Component Analysis
IEEE IECON, 2019
Smart grid data integrity attacks: characterizations and countermeasuresπ
2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011
An efficient Intrusion Detection System against cyber-physical attacks in the smart grid
Computers & Electrical Engineering, 2018
Model based intrusion detection system for synchrophasor applications in smart grid
2017 IEEE Power & Energy Society General Meeting, 2017
arXiv (Cornell University), 2023
An Integrated Defense Architecture Against False Data Injection Attacks in Smart Grid
Detecting Anomalies by Data Aggregation in the Power Grid
2006