Network neighborhood topology as a predictor for fraud and anomaly detection
US10515366B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 24, 2013 |
| Grant date | Dec 24, 2019 |
| Priority date | — |
| Expiry date | Dec 24, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/3224
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An improved technique involves generating, from historical transaction data, a relational graph that represents connections between users who initiate transactions and transaction devices used to carry out the transactions. By supplementing traditional relational database models with a tool such as a graph database, a risk analysis server is able to express users and transaction devices as nodes in a graph and the connections between them as edges in the graph. The risk analysis server may then match the topology of the graph in a neighborhood of the user initiating the transaction to a known topology that is linked to an indication of risk. In some arrangements, this topology is an input into a risk model used to compute a risk score for adaptive authentication.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.