一个实时流媒体系统,用于定制网络流量捕获.
Adrian-Tiberiu Costin1, Daniel Zinca1, Virgil Dobrota1
1Communications Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
本研究介绍了一种创新的网络流量记录工具,用于实时分析. 它有效地将网络数据包传输到Apache Kafka和ksqlDB,以便快速存储和管理数据.
科学领域:
- 计算机科学 计算机科学
- 网络工程 网络工程
- 数据管理数据管理
背景情况:
- 网络流量日志对于数据流分析和故障排除至关重要.
- 实时查询和模式匹配对于高级网络流量分析至关重要.
- 现有的方法在处理和存储大量网络数据时可能缺乏效率.
研究的目的:
- 介绍一款创新的网络流量记录工具.
- 展示用于网络流量分析的现代技术的整合.
- 展示高效的实时数据存储和检索.
主要方法:
- 开发一个网络流量日志工具.
- 实现实时网络数据包传输到Apache Kafka.
- 使用ksqlDB进行数据处理和查询.
主要成果:
- 成功地将网络数据包实时传输到Apache Kafka.
- 在Apache Kafka主题中可靠地存储网络包.
- 该工具在网络流量分析中的有效性已被证明.
结论:
- 现代技术显著提高了网络流量分析.
- 开发的工具提供了快速可靠的网络数据包存储.
- 使用Apache Kafka和ksqlDB对网络管理有好处.
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