GenCoder++: A Protocol-Aware and Adversarially Robust Adaptive Intrusion Detection Framework for Hybrid CAN-Ethernet Vehicular Networks

GenCoder++: A Protocol-Aware and Adversarially Robust Adaptive Intrusion Detection Framework for Hybrid CAN-Ethernet Vehicular Networks

This paper presents GenCoder++, a robust and adaptive Intrusion Detection System (IDS) framework designed for hybrid vehicular networks that incorporates the Controller Area Network (CAN) and Ethernet protocols. Unlike traditional static IDS approaches, GenCoder++ integrates a compression-aware deep...

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Bibliographic Details
Main Author: Mikhail Smolin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Intrusion detection system (IDS)
vehicular networks
CAN-Ethernet hybrid
variational autoencoder (VAE)
adversarial robustness
deep neural network (DNN)
Online Access:https://ieeexplore.ieee.org/document/11113287/
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https://ieeexplore.ieee.org/document/11113287/

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