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A Study on the Efficiency of ML-Based IDS with Dimensional ..:
, In:
2023 RIVF International Conference on Computing and Communication Technologies (RIVF)
,
Luong, Duc - Thuan
;
Nguyen, Minh - Hoang
;
Nguyen, Hong - Duc
... - p. 481-486 , 2023
Link:
https://doi.org/10.1109/RIVF60135.2023.10471826
RT T1 <cTitle>2023 RIVF International Conference on Computing and Communication Technologies (RIVF)</cTitle>: T1 <Title>A Study on the Efficiency of ML-Based IDS with Dimensional Reduction Methods for Industry IoT</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10471826&Exemplar=1&LAN=DE A1 Luong, Duc - Thuan A1 Nguyen, Minh - Hoang A1 Nguyen, Hong - Duc A1 Tran Thi, Thanh - Thuy A1 Nguyen, Nam - Hoang A1 Hoang, Trong - Minh YR 2023 SN 2473-0130 K1 Industries K1 Computational modeling K1 Image edge detection K1 Scalability K1 Intrusion detection K1 Machine learning K1 Complexity theory K1 Industry IoT K1 Intrusion Detection Systems K1 Dimension reduction K1 Edge computing SP 481 OP 486 LK http://dx.doi.org/https://doi.org/10.1109/RIVF60135.2023.10471826 DO https://doi.org/10.1109/RIVF60135.2023.10471826 SF ELIB - SuUB Bremen
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