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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
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
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection—0
The Adversarial Machine Learning Conundrum: Can The Insecurity of ML Become The Achilles' Heel of Cognitive Networks?—0
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things—0
Toward Generative Data Augmentation for Traffic Classification—0
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