Fraud detection based on analysis of frequency-domain data
US11909749B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2021 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | Dec 5, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/63
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A risk analysis system configures the decision engine to detect anomalous online activities by analyzing usage patterns associated with one or more user accounts across multiple frequencies. The risk analysis system obtains transaction log data representing transactions associated with one or more accounts, and extracts data from the transaction log data to generate time-series data along a time dimension. The time-series data may represent usage characteristics of one or more user accounts over a period of time. The risk analysis system derives pattern data representing usage patterns across multiple different frequencies based on the time-series data. The risk analysis system then configures the decision engine to detect anomalous account activities based on the derived pattern data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.