QUIC Network Traffic Classification Using Ensemble Machine Learning Techniques

• Published in: Applied sciences Vol. 13; no. 8; p. 4725
• Main Authors: Almuhammadi, Sultan, Alnajim, Abdullatif, Ayub, Mohammed
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.04.2023
• Subjects: Accuracy; Analysis; Classification; Data mining; Deep learning; ensemble learning; Internet; Investment analysis; Machine learning; Malware; Methods; QUIC traffic; Social networks; traffic classification; Transmission Control Protocol/Internet Protocol (Computer network protocol)
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app13084725

The Quick UDP Internet Connections (QUIC) protocol provides advantages over traditional TCP, but its encryption functionality reduces the visibility for operators into network traffic. Many studies deploy machine learning and deep learning algorithms on QUIC traffic classification. However, standalo...