FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection
FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection
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Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
The rise of Distributed Denial of Service (DDoS) attacks on the internet has necessitated the development of robust and efficient detection mechanisms. DDoS attacks continue to present a significant threat, making it imperative to find efficient ways to detect and prevent these attacks promptly. Traditional machine learning approaches raise privacy...
Alternative Titles
Full title
FedDB: A Federated Learning Approach Using DBSCAN for DDoS Attack Detection
Authors, Artists and Contributors
Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_a73df1c1265540c59a490c2c5b21e8c2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a73df1c1265540c59a490c2c5b21e8c2
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app142210236
