Active learning-based fraud detection in adaptive authentication systems
US8875267B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2012 |
| Grant date | Oct 28, 2014 |
| Priority date | — |
| Expiry date | Jun 29, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W12/67
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Active learning-based fraud detection techniques are provided in adaptive authentication systems. An authentication request from an authentication requestor is processed by receiving the authentication request from the authentication requester; comparing current data for the user associated with the user identifier with historical data for the user; generating an adaptive authentication result based on the comparison indicating a likelihood current user data is associated with a fraudulent user; and performing one or more additional authentication operations to improve learning if the request satisfies one or more predefined non-risk based criteria. The predefined non-risk based criteria comprises, for example, (i) the request receiving a riskiness score below a threshold based on current data and wherein the request was expected to have a risk score above a threshold, or (ii) the request being in a bucket having a number of tagged events below a threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.