DDoS detection using anomaly detection in high-speed ITP networks. Comparing Autoencoder, Isolation Forest, Local Outlier Factor, and One-Class SVM across real ITP datasets, different aggregation windows, and feature selections using Pearson’s correlation coefficient.
machine-learning ddos open-science autoencoder isp ddos-detection datasets high-speed unsupervised-learning netflow-v9 network-security anomaly-detection local-outlier-factor isolation-forest one-class-svm cybersecurity-research internet-transit-provider
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- Python