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1
Anomaly Based Detection for Identifying R2L (Remote to Loca..:
, In:
2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
,
Hemasree, B.
;
N, Deepa.
- p. 1-4 , 2023
Link:
https://doi.org/10.1109/ICECONF57129.2023.10084242
RT T1 <cTitle>2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)</cTitle>: T1 <Title>Anomaly Based Detection for Identifying R2L (Remote to Local) Attacks Using RNN-LSTM in Comparison with ANN for Reducing False Alarm Rate</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10084242&Exemplar=1&LAN=DE A1 Hemasree, B. A1 N, Deepa. YR 2023 K1 Recurrent neural networks K1 Prediction algorithms K1 Knowledge discovery K1 Concurrent engineering K1 Artificial intelligence K1 Standards K1 Anomaly detection K1 Anomaly Detection K1 Artificial Neural Network K1 Deep Learning K1 False Alarm Rate K1 Novel Recurrent Neural Network-Long Short Term Memory K1 Remote to Local attacks SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/ICECONF57129.2023.10084242 DO https://doi.org/10.1109/ICECONF57129.2023.10084242 SF ELIB - SuUB Bremen
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