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Found 2 papers, 2 papers with code
Recomposition vs. Prediction: A Novel Anomaly Detection for Discrete Events Based On Autoencoder
One of the most challenging problems in the field of intrusion detection is anomaly detection for discrete event logs.
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal Users
Autoencoder-based anomaly detection methods have been used in identifying anomalous users from large-scale enterprise logs with the assumption that adversarial activities do not follow past habitual patterns.
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