Hybrid Anomaly Detection in Time Series by Combining Kalman Filters and Machine Learning Models.
Andreas PuderMoritz ZinkLuca SeidelEric SaxPublished in: Sensors (2024)
Keyphrases
- k means
- anomaly detection
- machine learning models
- kalman filter
- detect anomalies
- intrusion detection
- spam filtering
- machine learning algorithms
- machine learning approaches
- anomalous behavior
- data assimilation
- network traffic
- network intrusion detection
- detecting anomalies
- object tracking
- intrusion detection system
- machine learning
- negative selection algorithm
- mean shift
- unsupervised learning
- network anomaly detection
- predictive model
- particle filter
- one class support vector machines
- expectation maximization
- machine learning methods