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Investigating novel machine learning based intrusion detect..:
, In:
2023 International Conference on IT and Industrial Technologies (ICIT)
,
Shah, Muhammad Huzaifa
;
Abu Bakar, Muhammad
;
Ali, Raja Hashim
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/ICIT59216.2023.10335831
RT T1 <cTitle>2023 International Conference on IT and Industrial Technologies (ICIT)</cTitle>: T1 <Title>Investigating novel machine learning based intrusion detection models for NSL-KDD data sets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10335831&Exemplar=1&LAN=DE A1 Shah, Muhammad Huzaifa A1 Abu Bakar, Muhammad A1 Ali, Raja Hashim A1 Ul Abideen, Zain A1 Arshad, Usama A1 Ijaz, Ali Zeeshan A1 Ali, Nisar A1 Imad, Muhammad A1 Nabi, Said YR 2023 K1 Support vector machines K1 Radio frequency K1 Solid modeling K1 Logistic regression K1 Intrusion detection K1 Feature extraction K1 Solids K1 Intrusion Detection System K1 Machine Learning Models K1 Mutual Information (MI) SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICIT59216.2023.10335831 DO https://doi.org/10.1109/ICIT59216.2023.10335831 SF ELIB - SuUB Bremen
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