HRAL is a new unsupervised method for learning API structures from traffic to detect anomalies, reporting 82% recall and 87% F1 when documentation is limited and 100% when combined with signature rules.
Scalable hierarchical agglomerative clustering,
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HTTP REST API Structure Learning
HRAL is a new unsupervised method for learning API structures from traffic to detect anomalies, reporting 82% recall and 87% F1 when documentation is limited and 100% when combined with signature rules.