Method and system for detecting fraudulent transactions
US11900382B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 16, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Oct 28, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for detecting fraudulent transactions includes generation of a graph including a plurality of nodes and a plurality edges between the plurality of nodes based on historical transaction data of a plurality of historical transactions. The plurality of nodes include a set of merchant nodes and a set of consumer nodes. A set of static features and a plurality of dynamic features are determined based on the historical transaction data and the generated graph, respectively. A neural network is trained based on the set of static features and the plurality of dynamic features for detection of transaction fraud. The neural network is used to detect a first transaction as one of a fraudulent transaction or a legitimate transaction based on first transaction data of the first transaction.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.