Notifying entities of relevant events removing private information
Abstract
The present invention extends to systems and methods for notifying entities of relevant events notifying entities of relevant events removing private information. A privacy infrastructure can apply data privacy operations to user information prior to, during, or after any of signal ingestion, event detection, or event notification. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. One or more events are detected. User information is detected in one of the events. The privacy infrastructure applies a data privacy operation on the user information. It is determined that the one or events satisfies the rule formula subsequent to applying the data privacy operation.
Claims
exact text as granted — not AI-modifiedWhat is claimed:
1 . A method comprising:
receiving an indication of a location type, a boundary geometry, a user event truthfulness preference, a first event type, and a second event type; receiving an indication of an area including a first location of the location type and a second location of the location type; combining the location type, the boundary geometry, the area, the user event truthfulness preference, the first event type, and the second event type, into a rule formula; monitoring the area for events occurring within a first boundary surrounding the first location or occurring within a second boundary surrounding the second location, the first boundary and the second boundary defined in accordance with the boundary geometry; accessing first event characteristics including a first event type and a first event truthfulness corresponding to a first detected event; identifying user information contained within the first event characteristics; applying a data privacy operation to the user information; accessing second event characteristics including a second event type and a second event truthfulness corresponding to a second detected event; determining that a combination of the first characteristics and the second characteristics satisfy the rule formula subsequent to applying the data privacy operation, including determining that the first event type and the second event type occurred in combination within the first boundary and that the first event truthfulness and the second event truthfulness both satisfy the user event truthfulness preference; and automatically electronically notifying an entity in accordance with notification preferences that the rule formula was satisfied.Cited by (0)
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