Systems and methods relating to neural network-based API request pattern analysis for real-time insider threat detection
US11588836B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 28, 2021 |
| Grant date | Feb 21, 2023 |
| Priority date | — |
| Expiry date | Jul 14, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/133
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method of neural network-based pattern analysis for real-time threat detection according to an embodiment includes receiving a real-time request for a system resource from a user of the system, determining a user identifier associated with the user of the system, retrieving a set of recent requests associated with the user identifier from a short-term buffer, analyzing, using machine learning, the real-time request based on the set of recent requests and a neural network model to determine whether the real-time request is suspicious, and flagging the real-time request as a suspicious request in response to a determination that the real-time request is suspicious.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.