Network traffic anomaly detection method and apparatus, and electronic apparatus and storage medium
US12381899B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 7, 2021 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Feb 28, 2042 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D30/50
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A network traffic anomaly detection method and apparatus, and an electronic apparatus and a storage medium are provided. The network traffic anomaly detection method includes: acquiring multiple segments of traffic data in different monitoring states; acquiring an anomaly feature vector from the multiple segments of traffic data; training an initial classification model according to the anomaly feature vector and on the basis of a KNN algorithm, so as to obtain multiple initial classifiers; training an initial Adaboost classification model according to the anomaly feature vector and the multiple initial classifiers and on the basis of an Adaboost algorithm, so as to obtain an Adaboost classifier; and classifying collected traffic data via the Adaboost classifier.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.