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A comparison of stream mining algorithms on botnet detectio:
, In:
Proceedings of the 15th International Conference on Availability, Reliability and Security
,
Ribeiro, Guilherme Henrique
;
de Faria Paiva, Elaine R.
;
Miani, Rodrigo Sanches
- p. 1-10 , 2020
Link:
https://dl.acm.org/doi/10.1145/3407023.3407053
RT T1 <cTitle>Proceedings of the 15th International Conference on Availability, Reliability and Security</cTitle>: T1 <Title>A comparison of stream mining algorithms on botnet detection</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3407053&Exemplar=1&LAN=DE A1 Ribeiro, Guilherme Henrique A1 de Faria Paiva, Elaine R. A1 Miani, Rodrigo Sanches PB ACM YR 2020 K1 botnets K1 data streams K1 ensemble K1 intrusion detection systems K1 stream mining K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Intrusion detection systems K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Classification and regression trees K1 Machine learning algorithms K1 Ensemble methods K1 Bagging K1 Boosting K1 Instance-based learning SP 1 OP 10 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3407023.3407053 DO https://dl.acm.org/doi/10.1145/3407023.3407053 SF ELIB - SuUB Bremen
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