Bayesian anomaly detection and classification for noisy data.
Ethan RobertsBruce A. BassettMichelle LochnerPublished in: Int. J. Hybrid Intell. Syst. (2020)
Keyphrases
- anomaly detection
- noisy data
- intrusion detection
- unsupervised learning
- detecting anomalies
- anomalous behavior
- network intrusion detection
- network traffic
- intrusion detection system
- high dimensionality
- detecting anomalous
- high dimensional
- network anomaly detection
- negative selection algorithm
- network security
- pattern recognition
- decision trees
- feature space
- one class support vector machines
- neural network
- detect anomalies
- classification algorithm
- unsupervised anomaly detection
- model selection
- text classification
- support vector
- machine learning
- missing values
- training set
- object recognition
- feature extraction
- misuse detection
- data mining