Reducing false positives in bot detection
US10587629B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 6, 2017 |
| Grant date | Mar 10, 2020 |
| Priority date | — |
| Expiry date | Nov 6, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/144
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
This disclosure describes a bot detection system that distinguishes bot transactions from human transactions. The system utilizes an anomaly-based filter process to reduce the number of false positives as determined by the system. The filter process includes maintaining a database of anomaly patterns, wherein the patterns are encoded as anomaly pattern strings. As anomalies are detected, they are encoded in the anomaly pattern strings, and the database is updated by maintaining counts on the occurrences of the strings. When a particular pattern string as reflected in the database has a count that exceeds a threshold, the string is determined to be associated with a bot as opposed to a human user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.