| 摘要 |
Fraud detection mechanisms and methods that are adapted for inconsistent data collection are provided. Data is analyzed to determine normal operational variations from ideal system behavior. Profiles are developed for each individual sender, e.g., the number of multiple scans performed per confirmation number generated by each sender, and other parameters, such as delivery areas, e.g., the number of multiple scans performed per specific geographic area. If the sender's profile differs significantly from the normal operational variations, there is an indication of potential fraudulent activity and an investigation can be initiated. By analyzing a combination of sender and delivery scan data with system wide scan data, the effect of inconsistent data is minimized to significantly reduce the number of erroneous indications of fraudulent activity while still providing a high level of fraud detection.
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