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A Hybrid feature extraction method with machine learning fo..:
, In:
2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS)
,
Santhi, V.
;
Priyadharshini, J.
;
Swetha, M.
. - p. 454-459 , 2023
Link:
https://doi.org/10.1109/ICISCoIS56541.2023.10100339
RT T1 <cTitle>2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS)</cTitle>: T1 <Title>A Hybrid feature extraction method with machine learning for detecting the presence of network attacks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10100339&Exemplar=1&LAN=DE A1 Santhi, V. A1 Priyadharshini, J. A1 Swetha, M. A1 Dhanavandhana, K. YR 2023 K1 Training K1 Error analysis K1 Machine learning K1 Telecommunication traffic K1 Predictive models K1 Network security K1 Feature extraction K1 feature selection K1 accuracy K1 intrusion detection K1 network attacks K1 binary classification SP 454 OP 459 LK http://dx.doi.org/https://doi.org/10.1109/ICISCoIS56541.2023.10100339 DO https://doi.org/10.1109/ICISCoIS56541.2023.10100339 SF ELIB - SuUB Bremen
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