Hierarchical Federated Learning-Based Intrusion Detection for In-Vehicle Networks

Hierarchical Federated Learning-Based Intrusion Detection for In-Vehicle Networks

Intrusion detection systems (IDSs) are crucial for identifying cyberattacks on in-vehicle networks. To enhance IDS robustness and preserve user data privacy, researchers are increasingly adopting federated learning (FL). However, traditional FL-based IDSs depend on a single central aggregator, creat...

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Hlavní autoři: Muzun Althunayyan, Amir Javed, Omer Rana, Theodoros Spyridopoulos
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2024-12-01
Edice:Future Internet
Témata:
CAN bus
cyberattack
IDS
federated learning
in-vehicle network
On-line přístup:https://www.mdpi.com/1999-5903/16/12/451

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