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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
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning—0
CGNN: Traffic Classification with Graph Neural Network—0
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things—0
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
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
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
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