An Enhanced Netflow Data Collection System
Rongbo Zou, Tongge Xu, Huihui Hou
Abstract
Rongbo Zou, Tongge Xu, Huihui Hou
Abstract
Netflow-based network traffic analysis is one of today's mainstream network traffic monitoring and analysis techniques. However, port-based traffic identification that employed in Netflow-based protocol analysis is inaccurate. Netflow cannot provide enough details for analysis of site access behaviour. In order to overcome the above limitation, we propose an enhanced Netflow data collection method combining packet capturing and flow technique for accurate application identification. Then we design and implement an enhanced Netflow data collection system, which lays a data foundation for traffic analysis. Finally, the feasibility and effectiveness of the system are verified.
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Netflow-based network traffic analysis is one of today's mainstream network traffic monitoring and analysis techniques. However, port-based traffic identification that employed in Netflow-based protocol analysis is inaccurate. Netflow cannot provide enough details for analysis of site access behaviour. In order to overcome the above limitation, we propose an enhanced Netflow data collection method combining packet capturing and flow technique for accurate application identification. Then we design and implement an enhanced Netflow data collection system, which lays a data foundation for traffic analysis. Finally, the feasibility and effectiveness of the system are verified.
Key concepts: NetFlow, Computer science, Identification (biology), Computer network, Traffic analysis, Network packet, Data collection, Protocol (science)