Systems and methods for discriminating between human and non-human interactions with computing devices on a computer network
US10868823B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 20, 2018 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Jan 30, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/20
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Humans as well as non-human actors may interact with computer devices on a computer network. As described herein, it is possible to train and apply human vs. non-human detection models to provide an indication of the probability that a human or a non-human actor was interacting with a computer device during a particular time period. The probability that a human or non-human was interacting with computers during a particular time may be used to improve various actions, including selecting one or more different threat detection models to apply during the particular time, selecting data to use with threat detection models during the time, or selecting data from the particular time to store.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.