Anomaly detection of high-dimensional data based on Ensemble GANs with Dropout.
Wanghu ChenJilong YaoMeilin ZhouJing LiMengyang ShenPublished in: BDCAT (2022)
Keyphrases
- high dimensional data
- anomaly detection
- one class support vector machines
- dimensionality reduction
- nearest neighbor
- data sets
- low dimensional
- detecting anomalies
- intrusion detection
- high dimensionality
- high dimensional
- data analysis
- subspace clustering
- network traffic
- data points
- network intrusion detection
- dimension reduction
- input space
- anomalous behavior
- high dimensional spaces
- intrusion detection system
- similarity search
- neural network
- ensemble methods
- training set
- training data
- negative selection algorithm
- data distribution
- lower dimensional
- learning algorithm
- network anomaly detection
- clustering high dimensional data
- manifold learning
- high dimensional datasets
- decision trees
- detect anomalies
- subspace learning
- real world