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Traffic Classification

Traffic Classification is a task of categorizing traffic flows into application-aware classes such as chats, streaming, VoIP, etc. Classification can be used for several purposes including policy enforcement and control or QoS management.

Source: Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic

Papers

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Showing 1–10 of 110 papers

TitleStatusHype
Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
When Simple Model Just Works: Is Network Traffic Classification in Crisis?—0
Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification—0
Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway—0
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets—0
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection—0
Large Language Models powered Malicious Traffic Detection: Architecture, Opportunities and Case Study—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—0
Network Traffic Classification Using Machine Learning, Transformer, and Large Language Models—0
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