Detecting robotic internet activity across domains utilizing one-class and domain adaptation machine-learning models
US10841323B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 17, 2018 |
| Grant date | Nov 17, 2020 |
| Priority date | — |
| Expiry date | Nov 4, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0817
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and non-transitory computer readable storage media are disclosed for detecting robotic activity while monitoring Internet traffic across a plurality of domains. For example, the disclosed system identifies network session data for each domain of a plurality of domains, the network session data including network sessions comprising features that indicate human activity. In one or more embodiments, the disclosed system generates a classifier to output a probability that a network session at a domain includes human activity. In one or more embodiments, the disclosed system also generates a classifier to output a probability that a network session includes good robotic activity. Additionally, the disclosed system generates a domain-agnostic machine-learning model by combining models from a plurality of domains with network sessions including human activity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.