Automation of Network Traffic Monitoring using Docker images of Snort3, Grafana and a custom API

Levente Manases, Daniel Zinca
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引用次数: 2

Abstract

In this paper we present a mechanism to automate network traffic monitoring by using Docker images. The application has three parts: a Snort3 application for capturing network traffic, a Grafana application to display statistics on the dashboard and a custom API that makes the connection between Snort3 and Grafana. We pushed these images to DockerHub. An automation script, that executes all needed steps, was created and published to a Github repository.
使用Snort3、Grafana和自定义API的Docker映像实现网络流量监控的自动化
在本文中,我们提出了一种利用Docker镜像自动监控网络流量的机制。该应用程序有三个部分:一个用于捕获网络流量的Snort3应用程序,一个用于在仪表板上显示统计数据的Grafana应用程序,以及一个用于在Snort3和Grafana之间建立连接的自定义API。我们将这些图像推送到DockerHub。创建了一个执行所有所需步骤的自动化脚本,并将其发布到Github存储库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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