An ensemble-based framework for user behaviour anomaly detection and classification for cybersecurity.
Gianluigi FolinoCarla Otranto GodanoFrancesco Sergio PisaniPublished in: J. Supercomput. (2023)
Keyphrases
- anomaly detection
- user behaviour
- intrusion detection
- one class support vector machines
- unsupervised learning
- feature selection
- detecting anomalies
- anomalous behavior
- intrusion detection system
- machine learning
- training set
- text classification
- network traffic
- network intrusion detection
- probabilistic model
- support vector
- feature extraction
- detect anomalies
- negative selection algorithm
- activity recognition
- model selection
- supervised learning
- decision trees
- information retrieval