Syslog Anomaly Detection Using Supervised Machine Learning Models.
Elham YounesianMiroslav SiklosiNabhan KhatibJiri HosekPublished in: ICUMT (2021)
Keyphrases
- anomaly detection
- machine learning models
- unsupervised learning
- machine learning algorithms
- spam filtering
- intrusion detection
- machine learning approaches
- machine learning
- detecting anomalies
- anomalous behavior
- learning algorithm
- network intrusion detection
- supervised learning
- semi supervised
- network traffic
- network anomaly detection
- intrusion detection system
- learning models
- feature selection
- predictive model
- detect anomalies
- negative selection algorithm
- dimensionality reduction
- high dimensional
- active learning
- probabilistic model
- knowledge discovery
- semi supervised learning