Big data analytics for telecom fraud detection
US9699660B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2015 |
| Grant date | Jul 4, 2017 |
| Priority date | — |
| Expiry date | Apr 19, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/126
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Techniques of detecting telecom fraud involve applying a combination of real-time data analysis and risk models typically used in authentication applications to phone call metadata that is streamed to a database server on a continual basis to derive phone usage patterns as the database server receives the phone usage data. The database server then compares the derived phone usage patterns to patterns of fraudulent phone usage in order to detect SIM box or SIM cloning fraud in the streamed data. A comparison result that indicates the likelihood of such fraud in a vast set of phone calls may take the form of a risk score derived using risk models typically found in authentication applications.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.