Combating Threat-Alert Fatigue with Online Anomaly Detection Using Isolation Forest.
Muhamad Erza AminantoLei ZhuTao BanRyoichi IsawaTakeshi TakahashiDaisuke InouePublished in: ICONIP (1) (2019)
Keyphrases
- anomaly detection
- detect anomalies
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- computer security
- network traffic
- network anomaly detection
- intrusion detection system
- behavior analysis
- unsupervised learning
- unsupervised anomaly detection
- detecting anomalous
- network security
- alert correlation
- negative selection algorithm
- network intrusion
- law enforcement
- one class support vector machines
- pattern recognition
- previously unknown
- data sets