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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
Practical and Configurable Network Traffic Classification Using Probabilistic Machine LearningCode0
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification—0
Efficient Detection of Botnet Traffic by features selection and Decision Trees—0
Active Learning for Network Traffic Classification: A Technical Study—0
Deep Learning for Network Traffic ClassificationCode1
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks—0
Flow-Packet Hybrid Traffic Classification for Class-Aware Network Routing—0
Applications of Artificial Intelligence, Machine Learning and related techniques for Computer Networking Systems—0
Federated Traffic Synthesizing and Classification Using Generative Adversarial Networks—0
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications—0
Exploring Edge TPU for Network Intrusion Detection in IoT—0
Encrypted Internet traffic classification using a supervised Spiking Neural Network—0
Heterogeneous Data-Aware Federated Learning—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
Malware Traffic Classification: Evaluation of Algorithms and an Automated Ground-truth Generation Pipeline—0
Machine Learning-Based Early Detection of IoT Botnets Using Network-Edge Traffic—0
IoT Malware Network Traffic Classification using Visual Representation and Deep Learning—0
Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial VehiclesCode1
Classification of Traffic Using Neural Networks by Rejecting: a Novel Approach in Classifying VPN Traffic—0
Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach—0
MER-SDN: Machine Learning Framework for Traffic Aware Energy Efficient Routing in SDN—0
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction—0
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
Multitask Learning for Network Traffic ClassificationCode0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
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