Real Time Stream Mining based Attack Detection in Distribution Level PMUs for Smart Grids (original) (raw)

Anomaly Detection and Classification in Streaming PMU Data in Smart Grids

ANNIE UTHRA

Computer Systems Science and Engineering

View PDFchevron_right

Data-Driven Anomaly Detection in Modern Power Systems

Mucun Sun

Security of Cyber-Physical Systems, 2020

View PDFchevron_right

A Hybrid Framework for Detecting and Eliminating Cyber-Attacks in Power Grids

Arshia Aflaki

Energies

View PDFchevron_right

Securing Advanced Metering Infrastructure Using Intrusion Detection System with Data Stream Mining

Zeyar Aung

Lecture Notes in Computer Science, 2012

View PDFchevron_right

Robust Anomaly based Attack Detection in Smart Grids under Data Poisoning Attacks

MD. JAMINUR ISLAM

Proceedings of the 8th ACM on Cyber-Physical System Security Workshop

View PDFchevron_right

Detecting stealthy false data injection using machine learning in smart grid

Mohammad Esmalifalak

2013 IEEE Global Communications Conference (GLOBECOM), 2013

View PDFchevron_right

Subset Level Detection of False Data Injection Attacks in Smart Grids

Sanmukh Rao Kuppannagari

View PDFchevron_right

False Data Injection Attack Detection in Smart Grid Using Energy Consumption Forecasting

Adnan Anwar

Energies

View PDFchevron_right

Learning from power system data stream

Mauro D. Escobar

2019

View PDFchevron_right

Event stream processing for improved situational awareness in the smart grid

Nischal Dahal

Expert Systems with Applications, 2015

View PDFchevron_right

Signature-Based Method and Stream Data Mining Technique Performance Evaluation for Security and Intrusion Detection in Advanced Metering Infrastructures (AMI)

Ziaeddin Najafian

International Journal of Computer and Electrical Engineering, 2015

View PDFchevron_right

Machine Learning Methods for Attack Detection in the Smart Grid

Mete ozay

IEEE Transactions on Neural Networks and Learning Systems, 2015

View PDFchevron_right

Data Attacks on Power Grids: Leveraging Detection

R. Baldick

View PDFchevron_right

Anomaly detection and classification in power system state estimation: Combining model-based and data-driven methods

Sajjad Asefi

Sustainable Energy, Grids and Networks

View PDFchevron_right

Detecting Malicious Signal Manipulation in Smart Grids Using Intelligent Analysis of Contextual Data

Andrei Petrovski

13th International Conference on Security of Information and Networks, 2020

View PDFchevron_right

Statistical Security Incident Forensics against Data Falsification in Smart Grid Advanced Metering Infrastructure

Shameek Bhattacharjee

Proceedings of the Seventh ACM on Conference on Data and Application Security and Privacy, 2017

View PDFchevron_right

Two-tier data-driven intrusion detection for automatic generation control in smart grid

Sukumar Kamalasadan

2014 IEEE Conference on Communications and Network Security, 2014

View PDFchevron_right

Attack Context Embedded Data Driven Trust Diagnostics in Smart Metering Infrastructure

Shameek Bhattacharjee

ACM Transactions on Privacy and Security, 2021

View PDFchevron_right

Ensuring Data Integrity of OPF Module and Energy Database by Detecting Changes in Power Flow Patterns in Smart Grids

Adnan Anwar

IEEE Transactions on Industrial Informatics, 2017

View PDFchevron_right

Advanced applications for state estimators in smart grids : identification, detection and correction of simultaneous measurement, parameter and topology cyber-attacks

Juliana Klas

2018

View PDFchevron_right

ARIES: A Novel Multivariate Intrusion Detection System for Smart Grid

Emmanouil Panaousis, Panagiotis Radoglou Grammatikis, Georgios Efstathopoulos

Sensors, 2020

View PDFchevron_right

Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning

Saikat Das

Computers & Security, 2020

View PDFchevron_right

Pattern Mining and Anomaly Detection based on Power System Synchrophasor Measurements

Zhangshuan (Jason) Hou

Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

View PDFchevron_right

A Data-Driven Approach to Distinguish Cyber-Attacks from Physical Faults in a Smart Grid

Adnan Anwar

View PDFchevron_right

Effective Detection of Cyber Attack in a Cyber-Physical Power Grid System

Andrei Petrovski

2021

View PDFchevron_right

Anomaly detection in electricity cyber infrastructures

David Gamez

Proceedings of the …, 2006

View PDFchevron_right

Anomaly Detection in a Smart Microgrid System Using Cyber-Analytics: A Case Study

Preetha Thulasiraman

Energies

View PDFchevron_right

A Dynamic Strategy for Cyber-Attack Detection in Large-scale Power Systems via Output Clustering

Marija Ilic

2020 American Control Conference (ACC)

View PDFchevron_right

Detection of False Data Injection Attacks in Smart Grids: A Real-Time Principle Component Analysis

Haris M. Khalid

IEEE IECON, 2019

View PDFchevron_right

Smart grid data integrity attacks: characterizations and countermeasuresπ

P. Khargonekar

2011 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011

View PDFchevron_right

An efficient Intrusion Detection System against cyber-physical attacks in the smart grid

El-Hassane Aglzim

Computers & Electrical Engineering, 2018

View PDFchevron_right

Model based intrusion detection system for synchrophasor applications in smart grid

Abdullah Albalushi

2017 IEEE Power & Energy Society General Meeting, 2017

View PDFchevron_right

A Learning Assisted Method for Uncovering Power Grid Generation and Distribution System Vulnerabilities

Ipsita Koley

arXiv (Cornell University), 2023

View PDFchevron_right

An Integrated Defense Architecture Against False Data Injection Attacks in Smart Grid

Linqiang Ge

View PDFchevron_right

Detecting Anomalies by Data Aggregation in the Power Grid

Hoang Anh Nguyen

2006

View PDFchevron_right