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Log-based Anomaly Detection from Multi-view by Associating ..:
, In:
2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
,
Wang, Lin
;
Zhang, Kun
;
Li, Chen
. - p. 643-650 , 2021
Link:
https://doi.org/10.1109/TrustCom53373.2021.00096
RT T1 <cTitle>2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)</cTitle>: T1 <Title>Log-based Anomaly Detection from Multi-view by Associating Anomaly Scores with User Trust</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9724475&Exemplar=1&LAN=DE A1 Wang, Lin A1 Zhang, Kun A1 Li, Chen A1 Tu, Bibo YR 2021 SN 2324-9013 K1 Computational modeling K1 Time series analysis K1 Distributed databases K1 Transforms K1 Maintenance engineering K1 Data models K1 Service-oriented architecture K1 outlier ensembles K1 trust K1 log-based anomaly detection K1 cloud security SP 643 OP 650 LK http://dx.doi.org/https://doi.org/10.1109/TrustCom53373.2021.00096 DO https://doi.org/10.1109/TrustCom53373.2021.00096 SF ELIB - SuUB Bremen
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