Intrusion prevention system with machine learning model for real-time inspection of network traffic
US11128664B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 18, 2017 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | Apr 16, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
An intrusion prevention system includes a machine learning model for inspecting network traffic. The intrusion prevention system receives and scans the network traffic for data that match an anchor pattern. A data stream that follows the data that match the anchor pattern is extracted from the network traffic. Model features of the machine learning model are identified in the data stream. The intrusion prevention system classifies the network traffic based at least on model coefficients of the machine learning model that are identified in the data stream. The intrusion prevention system apples a network policy on the network traffic (e.g., block the network traffic) when the network traffic is classified as malicious.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.