Standard classifiers with SMOTE oversampling are reported to raise intrusion-detection accuracy on the KDD Cup 1999 dataset when applied to Zero Trust IoT environments.
Network intrusion detection based on random forest and support vector machine
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Advanced Anomaly Detection and Threat Intelligence in Zero Trust IoT Environments Using Machine Learning
Standard classifiers with SMOTE oversampling are reported to raise intrusion-detection accuracy on the KDD Cup 1999 dataset when applied to Zero Trust IoT environments.