System and method for the automated detection and prediction of online threats
AssigneeSeclytics, Inc.
InventorSaeed Abu-Nimeh
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Abstract
A method for monitoring online security threats comprising of a machine-learning service that receives data related to a plurality of features related to internet traffic metrics, the service then processes said data by performing operations selected from among: an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, and as a result the machine learning service outputs metrics that aid in the detection, identification, and prediction of an attack.
Claims11
A method for monitoring online security threats comprising;
- receiving data related to a plurality of features by a machine-learning service, wherein the received data comprises of internet traffic metrics;
- generating an output by the machine-learning service performing a machine-learning operation on at least one feature of the plurality of features, wherein the machine-learning operation is selected from among:
- an operation of ranking at least one feature, an operation of classifying at least one feature, an operation of predicting at least one feature, and an operation of clustering at least one feature, wherein the output comprises detection, identification, and prediction of an attack;
- and
- sending the output from the machine-learning service.
Dependencies are inferred from the claim text.