| 发明名称 |
Feature Based Three Stage Neural Network Intrusion Detection |
| 摘要 |
A system for detecting a network intrusion includes a first neural network for determining a first plurality of weight values corresponding to a plurality of vectors of an input data, a second neural network for updating the first plurality of weight values received from the first neural network to a second plurality of weight values based on the plurality of vectors of the input data, a third neural network for updating the second plurality of weight values received from the second neural network to a third plurality of weight values based on the plurality of vectors of the input data, and a classification module for classifying the plurality of vectors under at least one of a plurality of intrusions based on the third plurality of weight values received from the third neural network. |
| 申请公布号 |
US2015039543(A1) |
申请公布日期 |
2015.02.05 |
| 申请号 |
US201414446896 |
申请日期 |
2014.07.30 |
| 申请人 |
Athmanathan Balakrishnan;Kamthania Supriya |
发明人 |
Athmanathan Balakrishnan;Kamthania Supriya |
| 分类号 |
H04L29/06;G06F21/55;G06N3/08 |
主分类号 |
H04L29/06 |
| 代理机构 |
|
代理人 |
|
| 主权项 |
1. A method for detecting network intrusion using a plurality of neural networks, the method comprising:
determining a first plurality of weight values corresponding to a plurality of vectors of input data at a first neural network of the plurality of neural networks; updating the first plurality of weight values to a second plurality of weight values at a second neural network of the plurality of neural networks; updating the second plurality of weight values to a third plurality of weight values at a third neural network of the plurality of neural networks; and classifying the plurality of vectors under at least one of a plurality of intrusions based on the third plurality of weight values. |
| 地址 |
Bangalore IN |
