An Empirical Study on Log-based Anomaly Detection Using Machine Learning.
Shan AliChaima BoufaiedDomenico BianculliPaula BrancoLionel C. BriandNathan AschbacherPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- anomalous behavior
- unsupervised anomaly detection
- network intrusion detection
- network traffic
- detecting anomalies
- intrusion detection system
- unsupervised learning
- detecting anomalous
- behavior analysis
- computational intelligence
- one class support vector machines
- decision trees
- network security
- natural language processing
- learning algorithm
- detect anomalies
- computer security
- information extraction
- feature selection
- normal behavior
- data mining
- negative selection algorithm
- hidden markov models
- object recognition
- network intrusion
- pattern recognition
- text classification
- supervised learning
- reinforcement learning