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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 61–70 of 110 papers

TitleStatusHype
On Designing Machine Learning Models for Malicious Network Traffic Classification—0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage—0
On the Local Cache Update Rules in Streaming Federated Learning—0
Outlier detection on network flow analysis—0
PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning—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
TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction—0
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