Method for evaluating quality of rule-based detections

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United States of America Patent

PATENT NO 11930027
APP PUB NO 20230224313A1
SERIAL NO

17563106

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Abstract

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The present invention relates to a method for evaluating quality of signature-based detections in an infrastructure provided with a plurality of sensors, comprising defining predefined rules for the rule-based detections, wherein the rules are of a silent type such that operate without generating alerts to the user of the infrastructure, collecting telemetry events at each of the sensors, storing the telemetry events of each of the sensors to respective local sensor databases operatively connected to the sensors, aggregate, at predetermined aggregating time intervals, the telemetry events from the local sensor databases to a central database, analyzing the telemetry events at the central database, by evaluating the telemetry events with respect to the rules and calculating the quality measurements of the rules, according to a plurality of predefined quality metrics in a predefined metrics time interval, wherein the quality metrics comprise precision metric, by counting the instances of false positives of the telemetry events with respect to the predefined rules, recall metric, by counting the instances of false negatives of the telemetry events with respect to the predefined rules and performance metric, by counting the instances of rules hits over predefined evaluation time interval and the ratio between the partial and full of the rules matching, wherein the method for evaluating quality of rule-based detections further comprises releasing verified rules for the rule-based detections as predefined rules having the quality measurements within a predetermined quality target range, and wherein the verified rules are of alerting type such that operate generating alerts to the user of the infrastructure.

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Patent Owner(s)

  • NOZOMI NETWORKS SAGL

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Carcano, Andrea San Francisco, US 14 3
Carullo, Moreno Gavirate, IT 15 3
Di, Pinto Alessandro Malnate, IT 5 1
Kleymenov, Alexey Massagno, CH 4 2

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