Charge Manipulation Attacks Against Smart Electric Vehicle Charging Stations and Deep Learning-Based Detection Mechanisms
Author:
Affiliation:
1. School of Engineering, University of Warwick, Coventry, U.K.
2. Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ, USA
Funder
PETRAS National Centre of Excellence for IoT Systems Cybersecurity
U.K. EPSRC
C3.AI Digital Transformation Institute and the Princeton University School of Engineering and Applied Science
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/5165411/10643567/10531054.pdf?arnumber=10531054
Reference37 articles.
1. Cyber Insurance Against Cyberattacks on Electric Vehicle Charging Stations
2. Electric Vehicle Charging: A Survey on the Security Issues and Challenges of the Open Charge Point Protocol (OCPP)
3. OCPP Protocol: Security Threats and Challenges
4. Investigating the Security of EV Charging Mobile Applications as an Attack Surface
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1. Attack Design for Maximum Malware Spread Through EVs Commute and Charge in Power-Transportation Systems;IEEE Systems Journal;2024-09
2. Multilayer Iterative Stochastic Dynamic Programming for Optimal Energy Management of Residential Loads with Electric Vehicles;International Journal of Energy Research;2024-01
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