Method and device for detecting network intrusion
US10237289B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 7, 2017 |
| Grant date | Mar 19, 2019 |
| Priority date | — |
| Expiry date | Sep 7, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY04S10/50
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a method and a device for detecting network intrusion. The method includes: obtaining a feature vector of a network flow to be detected; and detecting the feature vector using a deep neural network, and determining a network intrusion category of the network flow to be detected, in which the deep neural network is generated by training with training data, the training data includes feature vectors of normal samples and feature vectors of attack samples, the attack samples include original attack samples and generated attack samples by adding noise to the original attack samples. The method can improve an ability to identify unknown attacks and a normalization ability of known attacks.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.