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CAPTAR: Causal-Polytree-based Anomaly Reasoning for SCADA N..:
, In:
2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
,
Ren, Wenyu
;
Yu, Tuo
;
Yardley, Timothy
. - p. 1-7 , 2019
Link:
https://doi.org/10.1109/SmartGridComm.2019.8909766
RT T1 <cTitle>2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)</cTitle>: T1 <Title>CAPTAR: Causal-Polytree-based Anomaly Reasoning for SCADA Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8909766&Exemplar=1&LAN=DE A1 Ren, Wenyu A1 Yu, Tuo A1 Yardley, Timothy A1 Nahrstedt, Klara YR 2019 K1 Belief propagation K1 Cognition K1 Noise measurement K1 Bayes methods K1 Databases K1 SCADA systems K1 Correlation K1 Smart Grid K1 SCADA K1 causal analysis K1 anomaly reasoning SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/SmartGridComm.2019.8909766 DO https://doi.org/10.1109/SmartGridComm.2019.8909766 SF ELIB - SuUB Bremen
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