{"title":"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","authors":"Levente Manases, Daniel Zinca","doi":"10.1109/RoEduNet57163.2022.9921063","DOIUrl":null,"url":null,"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.","PeriodicalId":302692,"journal":{"name":"2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Automation of Network Traffic Monitoring using Docker images of Snort3, Grafana and a custom API\",\"authors\":\"Levente Manases, Daniel Zinca\",\"doi\":\"10.1109/RoEduNet57163.2022.9921063\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":302692,\"journal\":{\"name\":\"2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RoEduNet57163.2022.9921063\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 21st RoEduNet Conference: Networking in Education and Research (RoEduNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RoEduNet57163.2022.9921063","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automation of Network Traffic Monitoring using Docker images of Snort3, Grafana and a custom API
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.
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