Machine Learning Based Anomaly Detection of Log Files Using Ensemble Learning and Self-Attention.
Markus FältStefan ForsströmTingting ZhangPublished in: ICSRS (2021)
Keyphrases
- anomaly detection
- ensemble learning
- log files
- machine learning
- ensemble methods
- website
- generalization ability
- intrusion detection
- log data
- feature selection
- web users
- machine learning methods
- network traffic
- machine learning algorithms
- learning algorithm
- unsupervised learning
- intrusion detection system
- base classifiers
- random forest
- decision trees
- web server
- data mining
- information extraction
- support vector machine
- active learning
- pattern recognition
- concept drift
- detect anomalies
- domain experts
- knowledge acquisition
- text classification
- knowledge representation
- multiple models
- text mining
- data sets