FedPrIDS: Privacy-Preserving Federated Learning for Collaborative Network Intrusion Detection in IoT
One of the major challenges for effective intrusion detection systems (IDSs) is continuously and efficiently incorporating changes on cyber-attack tactics, techniques, and procedures in the Internet of Things (IoT). Semi-automated cross-organizational sharing of IDS data is a potential solution. How...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2026-01-01
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| Reeks: | Journal of Cybersecurity and Privacy |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2624-800X/6/1/10 |
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