An online unsupervised One-Class SVM pipeline is claimed to achieve 98%+ accuracy and 100% recall on NF-UNSW-NB15(-v2), but the evaluation leaks test information into scaling and hyperparameter selection.
URL: https://blog.checkpoint.com/research/ a-closer-look-at-q3-2024-75-surge-in-cyber-attacks-worldwide/
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Anomaly detection in network flows using unsupervised online machine learning
An online unsupervised One-Class SVM pipeline is claimed to achieve 98%+ accuracy and 100% recall on NF-UNSW-NB15(-v2), but the evaluation leaks test information into scaling and hyperparameter selection.