Towards Network Anomaly Detection Using Graph Embedding笔记

Towards Network Anomaly Detection Using Graph Embedding

目录

• Towards Network Anomaly Detection Using Graph Embedding
• 3、Graph Embedding Algorithm
• 4、Network Anomaly Detection Framework
• 5、 Evaluation
  • 5.3 Network Anomaly Detection

3、Graph Embedding Algorithm

In this section, we introduce the first-order graph and second-order graph of network traffic, then propose the graph embedding algorithm for these two graphs. At last, we also adopt two optimization methods to reduce the complexity of the proposed algorithm.

在这一节中，我们介绍了网络流量的一阶图和二阶图，然后提出了这两种图的图嵌入算法。最后，我们还采用了两种优化方法来降低算法的复杂度。

4、Network Anomaly Detection Framework

Our framework is composed of five primary modules: network probe, embedding, training, detection and database

5、 Evaluation

5.3 Network Anomaly Detection

数据集使用CICIDS 2017