A Revised Isolation Forest procedure for Anomaly Detection with High Number of Data Points.
Elisa MarcelliTommaso BarbariolVincenzo SavarinoAlessandro BeghiGian Antonio SustoPublished in: LATS (2022)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised anomaly detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network anomaly detection
- one class support vector machines
- intrusion detection system
- network traffic
- network security
- malware detection
- computer security
- detect anomalies
- image segmentation
- behavior analysis
- detecting anomalous
- probabilistic model
- hidden markov models
- negative selection algorithm
- cumulative sum
- high dimensional