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Evaluation of Machine Learning-based Anomaly Detection Algo..:
, In:
Proceedings of the 13th International Conference on Availability, Reliability and Security
,
Anton, Simon Duque
;
Kanoor, Suneetha
;
Fraunholz, Daniel
. - p. 1-9 , 2018
Link:
https://dl.acm.org/doi/10.1145/3230833.3232818
RT T1
Proceedings of the 13th International Conference on Availability, Reliability and Security
: T1
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set
UL https://suche.suub.uni-bremen.de/peid=acm-3232818&Exemplar=1&LAN=DE A1 Anton, Simon Duque A1 Kanoor, Suneetha A1 Fraunholz, Daniel A1 Schotten, Hans Dieter PB ACM YR 2018 K1 Anomaly Detection K1 IT-Security K1 Industrial K1 Machine Learning K1 Modbus K1 Security and privacy K1 Intrusion/anomaly detection and malware mitigation K1 Intrusion detection systems SP 1 OP 9 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3230833.3232818 DO https://dl.acm.org/doi/10.1145/3230833.3232818 SF ELIB - SuUB Bremen
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