Intrusion detection in unlabeled data with quarter-sphere Support Vector Machines.
Pavel LaskovChristin SchäferIgor V. KotenkoPublished in: DIMVA (2004)
Keyphrases
- intrusion detection
- unlabeled data
- support vector
- semi supervised learning
- labeled data
- semi supervised
- intrusion detection system
- training examples
- active learning
- co training
- network security
- anomaly detection
- semi supervised classification
- training data
- network traffic
- labeled examples
- training set
- data points
- supervised learning
- learning algorithm
- text classification
- network intrusion detection
- classification accuracy
- text categorization
- detecting anomalous
- support vector machine
- class labels
- support vectors
- labeled and unlabeled data
- hyperplane
- kernel function
- transfer learning
- data sets
- data mining
- feature selection
- unsupervised learning
- kernel methods
- prior knowledge
- network attacks
- multi label
- ensemble learning
- machine learning
- neural network
- databases
- image segmentation
- bayesian networks
- multi class
- multi view
- computer systems