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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 71–80 of 110 papers

TitleStatusHype
Time-Distributed Feature Learning for Internet of Things Network Traffic Classification—0
Time-Distributed Feature Learning in Network Traffic Classification for Internet of Things—0
Toward Generative Data Augmentation for Traffic Classification—0
Towards a graph-based foundation model for network traffic analysis—0
Towards Intelligent Network Management: Leveraging AI for Network Service Detection—0
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
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