Method, system, and computer program product for fraud prevention using deep learning and survival models
US11756050B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 6, 2020 |
| Grant date | Sep 12, 2023 |
| Priority date | — |
| Expiry date | Jul 16, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Provided is a method for fraud prevention using deep learning and survival models. The method may include receiving, with at least one processor, transaction data associated with a plurality of transactions of at least one payment account. At least one attempted attack may be detected based on the transaction data. A fraud risk score for each subperiod of a plurality of subperiods in a time period following the at least one attempted attack may be generated based on the transaction data using a deep learning model and a survival model. The fraud risk score for each respective subperiod may be associated with a probability that a fraudulent transaction will not occur by the respective subperiod. A system and computer program product are also disclosed.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.