Model Based Anomaly Detection in High Dimensional DATA.
Imen GatfaouiBasel SolaimanImed Riadh FarahPublished in: ATSIP (2022)
Keyphrases
- anomaly detection
- high dimensional data
- intrusion detection
- dimensionality reduction
- nearest neighbor
- high dimensional
- network intrusion detection
- data sets
- data analysis
- low dimensional
- similarity search
- detecting anomalies
- data points
- dimension reduction
- high dimensionality
- subspace clustering
- intrusion detection system
- network traffic
- manifold learning
- unsupervised learning
- anomalous behavior
- data distribution
- detect anomalies
- high dimensional datasets
- network anomaly detection
- high dimensional spaces
- clustering high dimensional data
- one class support vector machines
- input data
- image processing
- subspace learning
- training set
- support vector
- similarity measure
- genetic algorithm
- negative selection algorithm
- data mining