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1 Ergebnisse
1
Performance Analysis of a Machine Learning Enabled Anomaly ..:
, In:
2022 IEEE 6th Conference on Information and Communication Technology (CICT)
,
Ramyea, R
;
Kasthuri, N
;
Preethi, S
... - p. 1-5 , 2022
Link:
https://doi.org/10.1109/CICT56698.2022.9997990
RT T1 <cTitle>2022 IEEE 6th Conference on Information and Communication Technology (CICT)</cTitle>: T1 <Title>Performance Analysis of a Machine Learning Enabled Anomaly Intruder Detector in Wireless Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9997990&Exemplar=1&LAN=DE A1 Ramyea, R A1 Kasthuri, N A1 Preethi, S A1 Kavivarman, J A1 Harish, R A1 Krishnakanth, M E A1 Harish Prabu, P N YR 2022 K1 Support vector machines K1 Training K1 Wireless networks K1 Support vector machine classification K1 Feature extraction K1 Security K1 Reliability K1 network intrusion K1 support vector machine classifier K1 univariate feature selection K1 confusion matrix SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/CICT56698.2022.9997990 DO https://doi.org/10.1109/CICT56698.2022.9997990 SF ELIB - SuUB Bremen
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