Optimized extreme learning machines with deep learning for high-performance network traffic classification. [PDF]
Zhang X, Yin J.
europepmc +1 more source
A novel encrypted traffic detection model based on detachable convolutional GCN-LSTM. [PDF]
Yuan X, Wan J, An D, Pei H.
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Balancing Complexity and Performance in Convolutional Neural Network Models for QUIC Traffic Classification. [PDF]
Pettorru G, Flumini M, Martalò M.
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Research on encrypted malicious traffic detection in power information interaction: application of the electricity multi-granularity flow representation learning approach. [PDF]
Wu Z +5 more
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A Survey on Privacy Preservation Techniques in IoT Systems. [PDF]
Kaur R, Rodrigues T, Kadir N, Kashef R.
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Anomaly detection in encrypted network traffic using self-supervised learning. [PDF]
Sattar S +7 more
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Transformer-Based Multi-Source Transfer Learning for Intrusion Detection Models with Privacy and Efficiency Balance. [PDF]
Yang B, Zhang G, Wang K.
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FedGraphHE: A privacy-preserving federated graph neural network framework with dynamic homomorphic encryption and robust aggregation. [PDF]
Zuo A +5 more
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Deep reinforcement learning-based intrusion detection scheme for software-defined networking. [PDF]
Kanimozhi R, Ramesh PS.
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Reliable QoE Prediction in IMVCAs Using an LMM-Based Agent. [PDF]
Sidorov M +4 more
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