Cyber-Attack on P2P Energy Transaction Between Connected Electric Vehicles: A False Data Injection Detection Based Machine Learning Model
Author:
Affiliation:
1. Department of Electrical Engineering and Computer Science, University of Sherbrooke, Sherbrooke, QC, Canada
2. The National School of Computer Science Tunis, Manouba, Tunisia
3. GREYC Laboratory, ENSI CAEN, Caen, France
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09794999.pdf?arnumber=9794999
Reference23 articles.
1. Detection of False Data Injection Attacks in Smart Grid Utilizing ELM-Based OCON Framework
2. Detection of false data injection attacks in smart grids using Recurrent Neural Networks
3. Blind False Data Injection Attacks Against State Estimation Based on Matrix Reconstruction
4. A New False Data Injection Attack Detection Model for Cyberattack Resilient Energy Forecasting
5. Unsupervised learning trajectory anomaly detection algorithm based on deep representation
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