Advanced Temporal Convolutional Network Framework for Intrusion Detection in Electric Vehicle Charging Stations
Electric Vehicle Charging Station (EVCS) systems have become increasingly critical to the energy and transportation sectors. The detection of various attacks in EVCS, including data interception in the Open Charge Point Protocol (OCPP), poses substantial cybersecurity challenges that existing deep l...
Saved in:
| Main Authors: | Ikram Benfarhat, Vik Tor Goh, Chun Lim Siow, It Ee Lee, Muhammad Sheraz, Eng Eng Ngu, Teong Chee Chuah |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of Vehicular Technology |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10959074/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Temporal Convolutional Network Approach to Secure Open Charge Point Protocol (OCPP) in Electric Vehicle Charging
by: Ikram Benfarhat, et al.
Published: (2025-01-01) -
A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem
by: Safa Hamdare, et al.
Published: (2024-08-01) -
AI-Driven Framework for Secure and Efficient Load Management in Multi-Station EV Charging Networks
by: Md Sabbir Hossen, et al.
Published: (2025-07-01) -
Feasibility of Electric Vehicle Charging Stations from MV/LV Stations in Small Cities
by: Roman Sikora, et al.
Published: (2024-12-01) -
Sizing of interoperable EV charging stations on highways with a coordinated charging scheduling strategy
by: Ömer Gönül, et al.
Published: (2025-05-01)