Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training.
Christopher T. SymonsJustin M. BeaverPublished in: AISec (2012)
Keyphrases
- semi supervised learning
- network intrusion detection
- supervised learning
- unlabeled data
- labeled data
- semi supervised
- intrusion detection
- number of labeled examples
- anomaly detection
- labeled training data
- unsupervised learning
- fraud detection
- co training
- training examples
- training data
- active learning
- manifold regularization
- intrusion detection system
- semi supervised classification
- training set
- covariate shift
- machine learning
- dirichlet process mixture models
- network traffic
- label propagation
- text categorization
- training samples
- labeled and unlabeled data
- labeled instances
- graph based semi supervised learning
- computer networks
- multiple instance learning
- support vector machine
- knowledge discovery
- semi supervised learning algorithms
- prior knowledge
- image segmentation
- learning algorithm
- data mining