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Found 4 papers, 2 papers with code
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification
Network traffic monitoring based on IP Flows is a standard monitoring approach that can be deployed to various network infrastructures, even the large IPS-based networks connecting millions of people.
Network Traffic Classification based on Single Flow Time Series Analysis
Network traffic monitoring using IP flows is used to handle the current challenge of analyzing encrypted network communication.
Active Learning Framework to Automate NetworkTraffic Classification
The paper presents a novel ActiveLearning Framework (ALF) to address this topic.
Fine-grained TLS services classification with reject option
The number of service labels, which is important to make the problem hard and realistic, is four times higher than in the public dataset with the most class labels.
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