METHOD FOR ADJUSTING THE PARAMETERS OF A MACHINE LEARNING MODEL IN ORDER TO IDENTIFY FALSE TRIGGERING AND INFORMATION SECURITY INCIDENTS

FIELD: computing technology.SUBSTANCE: server-implemented method for adjusting the parameters of a machine learning model in order to identify false triggering and information security incidents (hereinafter incidents), wherein verdicts are changed for a certain part of information security events (...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Filonov Pavel Vladimirovich, Udimov Daniil Alekseevich, Soldatov Sergej Vladimirovich
Format:	Patent
Sprache:	eng ; rus
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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