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1
A Hybrid Machine Learning Approach to Anomaly Detection in ..:
, In:
2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)
,
T P, Jayesh
;
K, Pandiaraj
;
Paul, Arya
.. - p. 32-36 , 2023
Link:
https://doi.org/10.1109/ACCESS57397.2023.10199711
RT T1
2023 3rd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS)
: T1
A Hybrid Machine Learning Approach to Anomaly Detection in Industrial IoT
UL https://suche.suub.uni-bremen.de/peid=ieee-10199711&Exemplar=1&LAN=DE A1 T P, Jayesh A1 K, Pandiaraj A1 Paul, Arya A1 Chandran, Ranjeesh R A1 Menon, Prasanth P YR 2023 K1 Support vector machines K1 Measurement K1 Analytical models K1 Computational modeling K1 Data models K1 Threat assessment K1 Computer crime K1 Industrial Internet of Things K1 Attack detection K1 machine learning K1 hybrid model K1 security K1 the intrusion detection system SP 32 OP 36 LK http://dx.doi.org/https://doi.org/10.1109/ACCESS57397.2023.10199711 DO https://doi.org/10.1109/ACCESS57397.2023.10199711 SF ELIB - SuUB Bremen
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