Method and apparatus for network fraud detection and remediation through analytics
US11902307B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2020 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Jan 24, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for assessing the identity fraud risk of an entity's (a user's, computer process's, or device's) behavior within a computer network and then to take appropriate action. The system uses real-time machine learning for its assessment. It records the entity's log-in behavior (conditions at log-in) and behavior once logged in to create an entity profile that helps identify behavior patterns. The system compares new entity behavior with the entity profile to determine a risk score and a confidence level for the behavior. If the risk score and confidence level indicate a credible identity fraud risk at log-in, the system can require more factors of authentication before log-in succeeds. If the system detects risky behavior after log-in, it can take remedial action such as ending the entity's session, curtailing the entity's privileges, or notifying a human administrator.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.