Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection.
Thabang MathonsiTerence L. van ZylPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- hybrid model
- deep learning
- unsupervised learning
- intrusion detection
- artificial neural networks
- detecting anomalies
- machine learning
- network intrusion detection
- anomalous behavior
- hybrid models
- support vector regression
- network traffic
- network anomaly detection
- intrusion detection system
- detect anomalies
- support vector machine svm
- weakly supervised
- one class support vector machines
- expectation maximization
- real world
- mental models
- supervised learning
- support vector machine
- pattern recognition
- k nearest neighbor
- semi supervised
- feature selection
- genetic algorithm
- negative selection algorithm