Methods and systems for deep learning based API traffic security
US11411923B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 5, 2020 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Feb 5, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1491
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present invention relates to the field of networking and API/application security. In particular, the invention is directed towards methods, systems and computer program products for deep learning based API traffic analysis and network security. The invention provides an automated approach to threat and/or attack detection by machine learning based accumulation and/or interpretation of various API/application traffic patterns, identifying and mapping characteristics of normal traffic for each API, and thereafter identifying any deviations from the normal traffic parameter baselines, which deviations may be classified as anomalies or attacks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.