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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 81–90 of 110 papers

TitleStatusHype
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
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