A machine learning-based NIDS that collects training data from within the organization and updates the discriminator periodically and automatically.
Hideya SatoRyotaro KobayashiPublished in: CANDAR (Workshops) (2021)
Keyphrases
- machine learning
- training data
- learning algorithm
- supervised learning
- decision trees
- data sets
- automatically generated
- pattern recognition
- learning tasks
- machine learning algorithms
- machine learning methods
- unlabeled data
- classification accuracy
- network traffic
- training set
- training process
- test set
- learning problems
- inductive learning
- training examples
- information processing
- training instances
- knowledge acquisition
- information extraction
- information systems
- feature selection
- data analysis
- prior knowledge
- kernel methods
- artificial intelligence
- explanation based learning
- machine learning approaches
- computer vision
- relational databases
- labeled data
- knowledge representation
- learning systems
- support vector machine
- text classification
- model selection
- semi supervised learning