ADCMO: An Anomaly Detection Approach Based on Local Outlier Factor for Continuously Monitored Object.
Shubin SuLimin XiaoLi RuanRongbin XuShupan LiZhaokai WangQigong HeWei LiPublished in: ISPA/BDCloud/SocialCom/SustainCom (2019)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network traffic
- network intrusion detection
- anomalous behavior
- intrusion detection system
- network anomaly detection
- computer security
- behavior analysis
- unsupervised anomaly detection
- detect anomalies
- network security
- unsupervised learning
- one class support vector machines
- detecting anomalous
- moving objects
- pattern recognition
- training data
- data sets
- maximum entropy
- negative selection algorithm
- data assimilation
- cumulative sum