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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 91–100 of 110 papers

TitleStatusHype
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
Real-time Traffic Classification for 5G NSA Encrypted Data Flows With Physical Channel Records—0
Real Time Video Quality Representation Classification of Encrypted HTTP Adaptive Video Streaming - the Case of Safari—0
Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification—0
Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection with Few Samples—0
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