TERMINAL OPERATOR THEFT DETECTOR AND ANALYZER

Patent №

US 11,830,005

Granted

2023-11-28

Filed 2020

Owner

NCR CORPORATION

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17117235

Features are extracted and tabulated for transactions on a per-operator basis. Metrics are derived from the features on a per-feature basis and on an aggregate bases for the features as a whole. Additional metrics are calculated on a per-feature basis and an aggregate bases for a group of operators. A current transaction being conducted in real time by a given operator has current features extracted and a risk score is generated. The risk score is compared against the metrics associated with the given operator and the group of operators. A determination is made as to whether the current transaction is fraud or is not fraud based on the comparison. When fraud is detected, an alert is raised, and the current transaction provided to a fraud system for further fraud evaluation.

Knowledge representationPlanningAI hardwareG06Q 20/18G06Q 20/4016G06N 20/00G06Q 20/20

AI classification

Planning1.00
Knowledge representation1.00
AI hardware0.96
Machine learning0.34
Vision0.09
Evolutionary computation0.03
Natural language0.02
Speech0.00

Ownership

NCR CORPORATION

assignment · 546010043

Assignors

CIFARELLI, CLAUDIO, DE CAO, DIEGO

On an employer assignment, the assignors are typically the inventors.

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