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An Assessment of the Usability of Machine Learning Based To..:
, In:
2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
,
Oesch, Sean
;
Bridges, Robert
;
Smith, Jared
... - p. 634-641 , 2020
Link:
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartD..
RT T1
2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)
: T1
An Assessment of the Usability of Machine Learning Based Tools for the Security Operations Center
UL https://suche.suub.uni-bremen.de/peid=ieee-9291520&Exemplar=1&LAN=DE A1 Oesch, Sean A1 Bridges, Robert A1 Smith, Jared A1 Beaver, Justin A1 Goodall, John A1 Huffer, Kelly A1 Miles, Craig A1 Scofield, Dan YR 2020 K1 Tools K1 Security K1 Usability K1 Machine learning K1 Government K1 Analytical models K1 Malware SP 634 OP 641 LK http://dx.doi.org/https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00111 DO https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00111 SF ELIB - SuUB Bremen
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