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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 21–30 of 110 papers

TitleStatusHype
A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic ClassificationCode1
NetGPT: Generative Pretrained Transformer for Network TrafficCode1
Active Learning Framework to Automate NetworkTraffic Classification—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection—0
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic—0
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications—0
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