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A Survey on Regular Expression Matching for Deep Packet Inspection: Applications, Algorithms, and Hardware Platforms

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A Framework for QoS-aware Traffic Classification Using Semi-supervised Machine Learning in SDNs

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NFStream

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Accurate Classification of the Internet Traffic Based on the SVM Method

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Internet Traffic Classification Based on Incremental Support Vector Machines

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Efficient and robust feature extraction and selection for traffic classification

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A nonlinear, recurrence-based approach to traffic classification

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Anomaly detection in traffic using L1-norm minimization extreme learning machine

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A statistical approach to IP-level classification of network traffic

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Graph-Based P2P Traffic Classification at the Internet Backbone

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Investigating Two Different Approaches for Encrypted Traffic Classification

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ByteSGAN: A semi-supervised Generative Adversarial Network for encrypted traffic classification in SDN Edge Gateway

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Procedures, Criteria, and Machine Learning Techniques for Network Traffic Classification: A Survey

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Exploratory study on Class Imbalance and solutions for Network Traffic Classification

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Analyzing HTTPS encrypted traffic to identify user's operating system, browser and application

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Deep learning and pre-training technology for encrypted traffic classification: A comprehensive review

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Identification of VoIP encrypted traffic using a machine learning approach

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An efficient approach for device identification and traffic classification in IoT ecosystems

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A Session-Packets-Based Encrypted Traffic Classification Using Capsule Neural Networks

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Oudah, H. (2020) · PEARL (University of Plymouth) · doi:10.24382/775