Invention Grant
- Patent Title: False positive reduction in electronic token forgery detection
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Application No.: US17885391Application Date: 2022-08-10
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Publication No.: US11811940B2Publication Date: 2023-11-07
- Inventor: Bryan R. Jeffrey , Craig Gordon Lockwood , Reeves Hoppe Briggs
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/32 ; H04L9/00

Abstract:
The disclosed embodiments generate a plurality of anomaly detector configurations and compare results generated by these anomaly detectors to a reference result set. The reference result set is generated by a trained model. A correlation between each result generated by the anomaly detectors and the result set is compared to select an anomaly detector configuration that provides results most similar to those of the trained model. In some embodiments, data defining the selected configuration is then communicated to a product installation. The product installation instantiates the defined anomaly detector and analyzes local events using the instantiated detector. In some other embodiments, the defined anomaly detector is instantiated by the same system that selects the anomaly detector, and thus in these embodiments, the anomaly detector configuration is not transmitted from one system to another.
Public/Granted literature
- US20220385473A1 FALSE POSITIVE REDUCTION IN ELECTRONIC TOKEN FORGERY DETECTION Public/Granted day:2022-12-01
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