Anomaly Detection Modeling Based on Self-Adaptive Threshold Voting Integrating DBN-LRs.
Chao LianHua LiBing ZhengTong XuJiamao HanPublished in: ICBDR (2019)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- data assimilation
- intrusion detection system
- network traffic
- network intrusion detection
- detecting anomalous
- network anomaly detection
- computer security
- unsupervised anomaly detection
- detect anomalies
- one class support vector machines
- unsupervised learning
- behavior analysis
- malware detection
- negative selection algorithm
- data sets
- network security
- knowledge discovery
- connectionist systems
- machine learning