Event, threat and result change detection system and method
View Patent ↗Changes in event, threat and result patterns assist in forecasting subsequent occurrences. The present invention derives signature for event-types based on a comparison of actual event data with pre-established representational surfaces. The surfaces represent functional measurements and analysis associated with elements of the geospatial boundary being considered. Comparing newly obtained event, result and threat data with previously stored signatures facilitates change detection.
1. A computerized method for detecting changes in events, comprising the steps of:
establishing and storing an original geospatial signature for a given event type based on a determined likelihood associating the event type's relative proximity to a variable of interest (VOI) within a geospatial area of interest (AOI);
receiving geospatial information pertaining to one or more subsequent events of the given event type within the AOI, including location information for the one or more subsequent events;
classifying the received information as part of the original signature or as an outlier; and
upon the received information meeting or exceeding a pre-determined threshold for classification as an outlier, establishing and storing a reassessed signature for the given event type.
2. The method of claim 1 wherein the event can be an activity, a behavior, a customer set, a threat.
3. The method of claim 1 wherein the received information includes time information.
4. The method of claim 1 wherein the step of classifying the received information includes calculating a change statistic.
5. The method of claim 4 wherein the change statistic calculates the similarity of the event to all previous events of the given event type.
6. The method of claim 1 including the further step of receiving information at or above a pre-determined threshold for classification as part of the original signature, and storing two signatures for the given event type.
7. The method of claim 1 wherein the given event type has a plurality of sub-indicators, wherein an original geospatial signature is stored for each sub-indicator and wherein the step of classifying the received information includes classifying the received information as pertaining to one of the plurality of sub-indicators.
8. A computerized method for detecting changes in techniques, tactics or procedures associated with an event, comprising the steps of:
establishing and storing an original geospatial signature for a given event type based on a determined likelihood associating the event type's relative proximity to a variable of interest within a geospatial area of interest (AOI), wherein the original signature can be depicted as a technique, tactic, procedure or combination thereof;
receiving geospatial information pertaining to one or more subsequent events of the given event type within the AOI, including location information for the one or more subsequent events;
establishing and storing a reassessed signature for the given event type based on the received geospatial information;
comparing the reassessed signature to the original signature; and
depicting changes in the reassessed signature as a change in technique, tactic, procedure or a combination thereof.
9. The method of claim 8 wherein the signature can be depicted as a histogram assessment.
10. The method of claim 8 wherein the step of comparing the reassessed signature to the original signature includes calculating a change statistic and evaluating the change statistic against a threshold.
11. A computerized system for detecting changes in events, comprising:
a signature derivation component for establishing and storing an original geospatial signature for a given event type based on a determined likelihood associating the event type's relative proximity to a variable of interest (VOI) within a geospatial area of interest (AOI), the signature derivation component further for receiving geospatial information pertaining to one or more subsequent events of the given event type within the AOI, including location information for the one or more subsequent events; and
an event likelihood determinant component for classifying the received information as part of the original signature or as an outlier, and, upon the received information meeting or exceeding a pre-determined threshold for classification as an outlier, establishing and storing a reassessed signature for the given event type.
12. A computerized system for detecting changes in techniques, tactics or procedures associated with an event, comprising:
a signature derivation component for establishing and storing an original geospatial signature for a given event type based on a determined likelihood associating the event type's relative proximity to a variable of interest within a geospatial area of interest (AOI), wherein the original signature can be depicted as a technique, tactic, procedure or combination thereof, the signature derivation component further for receiving geospatial information pertaining to one or more subsequent events of the given event type within the AOI, including location information for the one or more subsequent events; and
an event likelihood determinant component for establishing and storing a reassessed signature for the given event type based on the received geospatial information, comparing the reassessed signature to the original signature and depicting changes in the reassessed signature as a change in technique, tactic, procedure or a combination thereof.
13. The system of claim 12 wherein the signature can be depicted as a histogram assessment.
14. The system of claim 12 wherein the step of comparing the reassessed signature to the original signature includes calculating a change statistic and evaluating the change statistic against a threshold.