Model随机森林
Random-Forest
A machine learning algorithm based on an ensemble of decision trees. It improves generalization through bagging and random feature selection and is commonly used for classification and regression tasks.
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Oct 22
On the three benchmarks UNSW-NB15, CIC-IDS2017, and EMBER2024, the paper compares against calibrated XGBoost, Random-Forest, MLP, and Kitsune, and measures a two-stage cascade of "Suricata (52,674 Emerging-Threats rules) → VX-One" running over five days on CIC-IDS2017.
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