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Hybrid Isolation Forest - Application to Intrusion Detection

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Academic year: 2021

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Fig. 1. Principle of the IF algorithm (Figure is from [22]). x i is an ’inlier’, while x o is an ’outlier’ (anomaly).
Fig. 2. 2D-tore ’normal’ data set in blue round dots (a), with a cluster of anomaly data in red square dots at the top right side of the tore (b), with an additional cluster of anomaly data in green diamond dots at the center of the tore (c).
Fig. 4. ROC curves for anomaly detectors constructed using the IF scores, ’normal’ test data against the red anomalies (a), and against the green anomalies (b).
Fig. 6. AUC values as a function of α 1 when the HIF score is evaluated according to Eq
+7

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