System and method for identification of automated browser agents
US10447711B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 4, 2016 |
| Grant date | Oct 15, 2019 |
| Priority date | — |
| Expiry date | Jan 31, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/144
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are methods and systems for evaluating web browser behavior to report on human versus non-human activity, based on varying analyses of detectable properties. By passively detecting the code of a webpage engaged by a browsing user, the present invention evaluates the browsing user's activity in order to predict the type of user with a degree of confidence. The predictions are formed by acquiring information on how a user loads, navigates, and interacts with a webpage and comparing that information with known and unknown properties in various control groups. If the prediction yields a high likelihood of automated activity, additional active detection may be performed. Reports are compiled by analysis servers and made available to the operators of webpages. By compiling performance metrics and informing operators of fraudulent versus normal activity, the invention combats malicious automated traffic directed at any aspect of a given webpage.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.