2023 · 30 citations · 15 references
ComputingComputer ScienceCybersecurityComputer SecurityMachine LearningWeb SecurityInternet Protocol SecurityInternet Protocol SuiteNetwork ProtocolsNetwork Traffic AnalysisPattern RecognitionServices ClassificationDrift ModelingEncrypted Traffic AnalysisEncrypted Traffic InspectionLabelsMachine Learning For Traffic AnalysisPacket ClassificationTraffic AnalysisTraffic Classification
The QUIC protocol is a new reliable and secure transport protocol that is an alternative to TLS over TCP. However, compared to TLS, QUIC obfuscates the connection hand-shake and the server name indication domain, making a simple inspection more challenging. The classification of QUIC traffic has also received less attention than that of TLS. In this work, we present a comprehensive study aiming to explore the challenges of QUIC traffic classification. We selected three models: 1) multi-modal CNN, 2) LighGBM, and 3) IP-based classifier, and evaluated their properties using a large one-month CESNET-QUIC22 dataset with 102 web service labels. The developed classifiers reached up to 88% accuracy and set the new baseline in fine-grained QUIC service classification. Moreover, the real nature of the dataset and its long time span allowed us to collect a number of insights and measure the classifiers' performance in the presence of data drift.
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Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al. · 2019 · 7.4K citations
MIMETIC: Mobile encrypted traffic classification using multimodal deep learning
Giuseppe Aceto, Domenico Ciuonzo, Antonio Montieri et al. · Computer Networks · 2019 · 274 citations
A Novel QUIC Traffic Classifier Based on Convolutional Neural Networks
Van Tong, Hai Anh Tran, Sami Souihi et al. · 2018 · 112 citations