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Anomaly Detection on UNSW-NB 15

Anomaly Detection on UNSW-NB 15

80AUCDENSEALERT

Updated 8mo ago

Evaluation results

Method	Links
DENSEALERT2020.09		80
Local Outlier Factor2020.09		49
Random Cut Forest2020.09		45

State-of-the-art paper

DENSEALERT

DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams

Dataset

UNSW-NB

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Related benchmarks

Runtime Performance on DoS (Anomaly Detection)Running Time Measurement on UNSW Runtime Analysis on KDD Anomaly Detection on CICIDS DoS Anomaly Detection on KDDCUP99

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