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

[img] Text
Preuveneers_2663_30354448_ny.pdf

Download (2MB)
Item Type: Article
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: 05 Jan 2019 20:26
URI: http://eprints.sztaki.hu/id/eprint/9539

Update Item Update Item