SENSOR: A Cost-Efficient Open-Source Flow Monitoring Platform
Gabriel Paradzik, Benjamin Steinert, Heinrich Abele, Michael Menth

TL;DR
This paper introduces SENSOR, an open-source, cost-effective distributed platform for collecting IPFIX flow data, emphasizing accessibility and implementation details at the University of Tübingen.
Contribution
It presents a novel open-source platform for flow monitoring that is both cost-efficient and easy to deploy using existing tools.
Findings
Successful implementation at the University of Tübingen
Cost-effective and scalable flow data collection
Comprehensive overview of open-source tools used
Abstract
This paper presents a cost-effective and distributed flow monitoring platform for collecting unsampled IPFIX data exclusively using open-source tools, which is implemented at the University of T\"ubingen. An overview of all tools is given and their use is explained.
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