Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
Preuveneers, D and Rimmer, V and Tsingenopoulos, I and Spooren, J and Joosen, W and Ilie Zudor, Angyalka (2018) Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study. APPLIED SCIENCES-BASEL, 8 (12). pp. 2663-2683. ISSN 2076-3417 10.3390/app8122663
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Official URL: https://doi.org/10.3390%2Fapp8122663
| Item Type: | Article |
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| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány |
| Divisions: | Research Laboratory on Engineering & Management Intelligence |
| SWORD Depositor: | MTMT Injector |
| Depositing User: | MTMT Injector |
| Date Deposited: | 05 Jan 2019 20:26 |
| Last Modified: | 21 Jul 2019 13:34 |
| URI: | https://eprints.sztaki.hu/id/eprint/9539 |
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