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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 76–100 of 110 papers

TitleStatusHype
From Classification to Optimization: Slicing and Resource Management with TRACTOR—0
Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps—0
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges—0
VINEVI: A Virtualized Network Vision Architecture for Smart Monitoring of Heterogeneous Applications and Infrastructures—0
ITCM: A Real Time Internet Traffic Classifier Monitor—0
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
When Simple Model Just Works: Is Network Traffic Classification in Crisis?—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
Active Learning for Network Traffic Classification: A Technical Study—0
Active Learning Framework to Automate NetworkTraffic Classification—0
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification—0
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Augmentation Scheme for Dealing with Imbalanced Network Traffic Classification Using Deep Learning—0
CBR - Boosting Adaptive Classification By Retrieval of Encrypted Network Traffic with Out-of-distribution—0
CGNN: Traffic Classification with Graph Neural Network—0
Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach—0
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic—0
Darknet Traffic Classification and Adversarial Attacks—0
Data Augmentation for Traffic Classification—0
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications—0
Deep Learning Approaches for Network Traffic Classification in the Internet of Things (IoT): A Survey—0
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