Research Article

Deep Encrypted Traffic Detection: An Anomaly Detection Framework for Encryption Traffic Based on Parallel Automatic Feature Extraction

Table 3

Performance of feature set filtered by six feature selection algorithms on Naive Bayes.

FSAccuracy (%)F1_score (%)Recall (%)AUC_score (%)

VT79.05073.33386.34780.872
Chi_2 test76.32968.44676.95976.487
RECFV98.39297.58197.52898.175
Decision tree98.58197.82795.76597.878
Random forest99.55999.33598.69799.344
L1_R99.66299.49199.00699.498

The bolded values represent the best-performing result.