Methods for detecting a cyberattack on an electronic device, method for obtaining a supervised random forest model for detecting a DDoS attack or a brute force attack, and electronic device configured to detect a cyberattack on itself
US12069077B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 3, 2020 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Apr 17, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2463/141
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A method for detecting a cyberattack on an electronic device is provided. The method is performed by the electronic device itself. The method includes collecting data at the electronic device. Further, the method includes classifying the collected data as regular data or malicious data using a supervised machine-learning model for the cyberattack. The method additionally includes determining whether the electronic device is under the cyberattack based on the classification of the collected data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.