Systems and methods employing graph-derived features for fraud detection
US11632460B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2021 |
| Grant date | Apr 18, 2023 |
| Priority date | — |
| Expiry date | Mar 15, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M2203/6027
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments described herein provide for performing a risk assessment using graph-derived features of a user interaction. A computer receives interaction information and infers information from the interaction based on information provided to the computer by a communication channel used in transmitting the interaction information. The computer may determine a claimed identity of the user associated with the user interaction. The computer may extract features from the inferred identity and claimed identity. The computer generates a graph representing the structural relationship between the communication channels and claimed identities associated with the inferred identity and claimed identity. The computer may extract additional features from the inferred identity and claimed identity using the graph. The computer may apply the features to a machine learning model to generate a risk score indicating the probability of a fraudulent interaction associated with the user interaction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.