Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing

• URL: http://arxiv.org/abs/2105.00074v1
• Date: Fri, 30 Apr 2021 20:30:36 GMT
• Title: Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing
• Authors: Sayantan Chowdhury, Ben Liang, Ali Tizghadam, Ilijc Albanese
• Abstract summary: Flow-packet hybrid traffic classification (FPHTC) We introduce FPHTC, where the router makes a decision per packet based on a routing policy. We show that it is robust toward traffic pattern changes and can be deployed with limited computational resource.
• Score: 24.947404267499586
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Network traffic classification using machine learning techniques has been widely studied. Most existing schemes classify entire traffic flows, but there are major limitations to their practicality. At a network router, the packets need to be processed with minimum delay, so the classifier cannot wait until the end of the flow to make a decision. Furthermore, a complicated machine learning algorithm can be too computationally expensive to implement inside the router. In this paper, we introduce flow-packet hybrid traffic classification (FPHTC), where the router makes a decision per packet based on a routing policy that is designed through transferring the learned knowledge from a flow-based classifier residing outside the router. We analyze the generalization bound of FPHTC and show its advantage over regular packet-based traffic classification. We present experimental results using a real-world traffic dataset to illustrate the classification performance of FPHTC. We show that it is robust toward traffic pattern changes and can be deployed with limited computational resource.

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