A meta-ensemble fusing QSVM and QNN outputs with a Random Forest improves selected IDS metrics over standalone quantum models on TON IoT and CICIDS2017 datasets.
Deep neural networks based meta-learning for network intrusion detection,
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Meta-Quantum Ensemble Framework for Robust Network Intrusion Detection
A meta-ensemble fusing QSVM and QNN outputs with a Random Forest improves selected IDS metrics over standalone quantum models on TON IoT and CICIDS2017 datasets.