Identification of anomalous transaction attributes in real-time with adaptive threshold tuning
US11216816B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 18, 2019 |
| Grant date | Jan 4, 2022 |
| Priority date | — |
| Expiry date | Nov 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q20/4016
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Identification of anomalous transaction attributes in real-time with adaptive threshold tuning is provided. A set of historical transactions conducted during a defined time period are analyzed and categorizing into defined groups. Outlier transactions are identified and removed from the set of historical transactions and a set of non-anomalous transactions are determined. When a new transaction is received, the new transaction is automatically allowed based on a determination that the subsequent transaction conforms to the set of non-anomalous transactions. Alternatively, an alert for further analysis for the new transaction is output based on a determination that the subsequent transaction does not conform to the set of non-anomalous transactions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.