Bot detection in an edge network using transport layer security (TLS) fingerprint
US11799908B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2021 |
| Grant date | Oct 24, 2023 |
| Priority date | — |
| Expiry date | Nov 23, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/144
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method of bot detection in a computer network leverages a machine learning system. The machine learning system receives a fingerprint derived at a server, the server having extracted a set of transport layer security parameters received from a client and processed the set parameters into the fingerprint. Based at least in part on the fingerprint, the learning system determines whether the client is likely to be a bot as opposed to a human user. The system generates and returns to the server as score having a first value when the fingerprint is determined to be associated with a good client, and having a second value when the fingerprint is determined to be associated with a bot. Based on the score received from the machine learning system, the server takes a configured action with respect to the client.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.