Detecting anomalous activity from accounts of an online service
AssigneeMicrosoft Technology Licensing, LLC
InventorsArt Sadovsky, Rustam Lalkaka, Vivek Sharma, Rajmohan Rajagopalan, Alexander Macleod
Life of this patent
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AssigneeMicrosoft Technology Licensing, LLC
InventorsArt Sadovsky, Rustam Lalkaka, Vivek Sharma, Rajmohan Rajagopalan, Alexander Macleod
Estimating the term…
Anomalous activity is detected using event information that is received from accounts from within an online service. Generally, anomalous activity is detected by comparing a baseline profile that includes past event information for accounts of the online service with a recent profile that includes recent event information for the accounts. Anomalous activity is detected when the recent profile shows that one or more events are occurring more frequently as compared to the occurrence of the event the associated baseline profile. The events that are recorded and used in the anomaly detection may include all or a portion of events that are monitored by the online service. One or more reports may also be automatically generated and provided to one or more users to show activity that may be considered anomalous activity.
A method for detecting anomalous activity in an online service, comprising:
A computer-readable storage medium storing computer-executable instructions for detecting anomalous activity in an online service, comprising:
A system for detecting anomalous activity in an online service, comprising:
Dependencies are inferred from the claim text.