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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 26–50 of 110 papers

TitleStatusHype
Towards a Transformer-Based Pre-trained Model for IoT Traffic ClassificationCode0
Segmented Learning for Class-of-Service Network Traffic ClassificationCode0
NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic ClassificationCode0
Enhancing Encrypted Internet Traffic Classification Through Advanced Data Augmentation TechniquesCode0
Multitask Learning for Network Traffic ClassificationCode0
Practical and Configurable Network Traffic Classification Using Probabilistic Machine LearningCode0
Discern-XR: An Online Classifier for Metaverse Network Traffic—0
Development of Multistage Machine Learning Classifier using Decision Trees and Boosting Algorithms over Darknet Network Traffic—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
Active Learning Framework to Automate NetworkTraffic Classification—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
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications—0
Group & Reweight: A Novel Cost-Sensitive Approach to Mitigating Class Imbalance in Network Traffic Classification—0
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection—0
Active Learning for Network Traffic Classification: A Technical Study—0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
Generic Multi-modal Representation Learning for Network Traffic Analysis—0
Generative Adversarial Classification Network with Application to Network Traffic Classification—0
Data Augmentation for Traffic Classification—0
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing—0
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks—0
Heterogeneous Data-Aware Federated Learning—0
Darknet Traffic Classification and Adversarial Attacks—0
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