Intrusion Detection in Unlabeled Data with Quarter-sphere Support Vector Machines.
Pavel LaskovChristin SchäferIgor V. KotenkoKlaus-Robert MüllerPublished in: Prax. Inf.verarb. Kommun. (2004)
Keyphrases
- intrusion detection
- unlabeled data
- support vector
- labeled data
- semi supervised learning
- semi supervised
- training examples
- intrusion detection system
- active learning
- anomaly detection
- co training
- supervised learning
- semi supervised classification
- learning algorithm
- text classification
- data points
- labeled and unlabeled data
- network traffic
- network security
- class labels
- training data
- labeled examples
- network intrusion detection
- training set
- text categorization
- feature selection
- computer vision
- data mining
- classification accuracy
- transfer learning
- detecting anomalous
- support vectors
- support vector machine
- prior knowledge
- kernel function
- pairwise
- learning problems
- kernel methods
- knn
- neural network
- database