System and method for using self-learning rules to enable adaptive security monitoring
First Claim
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1. A method for processing device data comprising:
- obtaining device data corresponding to one or more monitoring devices;
comparing the monitoring device data to a set of previously collected monitoring device data; and
generating an output if the monitoring device data substantially deviates from the set of previously collected monitoring device data.
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Abstract
Rules “learn” what is typical or expected for a certain attribute of device data for a given location, premises, time period, etc. Using a rule for a standard deviation the variance between newly collected data and the data stored in a fact table is either ignored or an alert (or some action) is generated. Data in the fact table is sampled for a specific time, or time period. Newly collected data may be used to update the fact table or discarded.
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Citations
11 Claims
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1. A method for processing device data comprising:
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obtaining device data corresponding to one or more monitoring devices;
comparing the monitoring device data to a set of previously collected monitoring device data; and
generating an output if the monitoring device data substantially deviates from the set of previously collected monitoring device data. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-readable medium having computer-executable components for processing monitoring device data comprising:
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a data interface component for obtaining monitoring device data;
a rules component for storing a set of previously collected monitoring device data; and
a data processing application for determining whether the monitoring device data substantially deviates from the set of previously collected monitoring device data. - View Dependent Claims (9, 10)
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11. A system for processing monitoring device data comprising:
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at least one information collection computing device for obtaining monitoring device data from a number of monitoring devices, wherein the video analytics data corresponds to at least one identifiable target;
a central processing server in communication with the at least one information collection computing device and operable to receive the monitoring device data;
a processing rules data store having a set previously collected monitoring device data;
wherein the central processing server determines whether the monitoring device data substantially deviates from the set of previously collected monitoring device data and generates at least one output corresponding to determination.
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Specification