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1
Detecting the Anomaly Attacks in Industrial IoT using Hybri..:
, In:
2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)
,
Rallapalli, Sreekanth
;
Kumar Tiwari, Vikas
;
D, Vidya Sagar S
. - p. 1-7 , 2023
Link:
https://doi.org/10.1109/EASCT59475.2023.10393443
RT T1 <cTitle>2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)</cTitle>: T1 <Title>Detecting the Anomaly Attacks in Industrial IoT using Hybrid Feature Selection Based Modified Convolutional Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10393443&Exemplar=1&LAN=DE A1 Rallapalli, Sreekanth A1 Kumar Tiwari, Vikas A1 D, Vidya Sagar S A1 Kumar Pareek, Piyush YR 2023 K1 Training K1 Transportation K1 Telecommunication traffic K1 Feature extraction K1 Turning K1 Internet K1 Convolutional neural networks K1 Industrial Internet of Things K1 Fuzzy analytic hierarchy process K1 Modified Convolutional Neural Network K1 Anomaly detection K1 Fuzzy Logic Technique SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/EASCT59475.2023.10393443 DO https://doi.org/10.1109/EASCT59475.2023.10393443 SF ELIB - SuUB Bremen
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