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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-12-01
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| coleção: | Future Internet |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/1999-5903/16/12/451 |
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