A novel anomaly score based on kernel density fluctuation factor for improving the local and clustered anomalies detection of isolation forests.
Nannan DongBaoquan RenHongjun LiXudong ZhongXiangwu GongJunmei HanJiazheng LvJianhua ChengPublished in: Inf. Sci. (2023)
Keyphrases
- anomaly detection
- kernel density
- detecting anomalies
- detect anomalies
- intrusion detection
- abnormal behavior
- anomalous behavior
- mean shift
- network intrusion detection
- normal behavior
- network traffic
- detection method
- intrusion detection system
- stock market
- network attacks
- false alarms
- automatic detection
- database
- video sequences
- learning algorithm
- detection rate
- automated detection
- false positives
- medical images
- object detection
- feature selection
- real world