System and method for distinguishing human swipe input sequence behavior and using a confidence value on a score to detect fraudsters
US9298912B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 19, 2013 |
| Grant date | Mar 29, 2016 |
| Priority date | — |
| Expiry date | Nov 28, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2221/2133
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Recording, analyzing and categorizing of user interface input via touchpad, touch screens or any device that can synthesize gestures from touch and pressure into input events. Such as, but not limited to, smart phones, touch pads and tablets. Humans may generate the input. The analysis of data may include statistical profiling of individual users as well as groups of users, the profiles can be stored in, but not limited to data containers such as files, secure storage, smart cards, databases, off device, in the cloud etc. A profile may be built from user/users behavior categorized into quantified types of behavior and/or gestures. The profile might be stored anonymized. The analysis may take place in real time or as post processing. Profiles can be compared against each other by all the types of quantified behaviors or by a select few.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.