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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 101–110 of 110 papers

TitleStatusHype
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection—0
Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic—0
Discern-XR: An Online Classifier for Metaverse Network Traffic—0
Efficient Detection of Botnet Traffic by features selection and Decision Trees—0
Efficiently and Effectively: A Two-stage Approach to Balance Plaintext and Encrypted Text for Traffic Classification—0
Efficient Traffic Classification using HW-NAS: Advanced Analysis and Optimization for Cybersecurity on Resource-Constrained Devices—0
Encrypted Internet traffic classification using a supervised Spiking Neural Network—0
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks—0
Exploring Edge TPU for Network Intrusion Detection in IoT—0
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets—0
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