Explainable Sequential Anomaly Detection via Prototypes (EASD)

Published

June 18, 2023

EASD: Explainable Sequential Anomaly Detection via Prototypes

We propose EASD, a prototype-based framework for explainable sequential anomaly detection. By linking anomalous subsequences to representative prototypes, EASD provides human-understandable explanations while maintaining strong detection accuracy. Experiments on benchmark log datasets confirm that prototype-based explanations improve interpretability without degrading performance.