Spectral ranking and unsupervised feature selection for point, collective, and contextual anomaly detection.
Haofan ZhangKe NianThomas F. ColemanYuying LiPublished in: Int. J. Data Sci. Anal. (2020)
Keyphrases
- anomaly detection
- unsupervised feature selection
- intrusion detection
- detecting anomalies
- anomalous behavior
- feature selection
- network intrusion detection
- detect anomalies
- intrusion detection system
- data clustering
- network traffic
- one class support vector machines
- unsupervised learning
- network anomaly detection
- dimensionality reduction
- neural network
- negative selection algorithm
- data matrix
- feature space
- machine learning