Using machine learning to detect malicious upload activity
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United States of America Patent
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Feb 21, 2023
Grant Date -
Feb 16, 2023
app pub date -
Jun 30, 2020
filing date -
Jun 30, 2020
priority date (Note) -
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status (Latency Note)
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Abstract
A method for training a machine learning model using information pertaining to characteristics of upload activity performed at one or more client devices includes generating first training input including (i) information identifying first amounts of data uploaded during a specified time interval for one or more of multiple application categories, and (ii) information identifying first locations external to a client device to which the first amounts of data are uploaded. The method includes generating a first target output that indicates whether the first amounts of data uploaded to the first locations correspond to malicious or non-malicious upload activity. The method includes providing the training data to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.
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