SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 110 papers

TitleStatusHype
Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA—0
A Natural Language-Inspired Multi-label Video Streaming Traffic Classification Method Based on Deep Neural Networks—0
When Simple Model Just Works: Is Network Traffic Classification in Crisis?—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
Active Learning for Network Traffic Classification: A Technical Study—0
Active Learning Framework to Automate NetworkTraffic Classification—0
A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification—0
A General Approach for Traffic Classification in Wireless Networks Using Deep Learning—0
Malicious Requests Detection with Improved Bidirectional Long Short-term Memory Neural Networks—0
Anomaly Detection Framework Using Rule Extraction for Efficient Intrusion Detection—0
Show:102550
← PrevPage 9 of 11Next →

No leaderboard results yet.