Detection of Lying Electrical Vehicles in Charging Coordination Using Deep Learning
Because charging coordination is a solution for avoiding grid instability by prioritizing charging requests, electric vehicles may lie and send false data to illegally receive higher charging priorities. In this article, we first study the impact of such attacks on both the lying and honest electric...
Main Authors: | Ahmed A. Shafee, Mostafa M. Fouda, Mohamed M. E. A. Mahmoud, Abdulah Jeza Aljohani, Waleed Alasmary, Fathi Amsaad |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9210521/ |
Similar Items
-
Electric Vehicle Charging and Discharging Coordination on Distribution Network Using Multi-Objective Particle Swarm Optimization and Fuzzy Decision Making
by: Dongqi Liu, et al.
Published: (2016-03-01) -
A Novel Data Analytical Approach for False Data Injection Cyber-Physical Attack Mitigation in Smart Grids
by: Yi Wang, et al.
Published: (2017-01-01) -
Coordinating EV Charging via Blockchain
by: Jian Ping, et al.
Published: (2020-01-01) -
Graph theoretical defense mechanisms against false data injection attacks in smart grids
by: Mohammad Hasan ANSARI, et al.
Published: (2018-09-01) -
A Study on the Charging of Electric Vehicles On a Prototypical Residential Feeder
by: Taylor, David
Published: (2014)