On Generalisability of Machine Learning-based Network Intrusion Detection Systems.
Siamak LayeghyMarius PortmannPublished in: CoRR (2022)
Keyphrases
- machine learning
- network intrusion detection systems
- intrusion detection
- intrusion detection system
- machine learning methods
- network intrusion
- computer science
- decision trees
- pattern recognition
- learning algorithm
- data mining
- machine learning algorithms
- text classification
- computational intelligence
- supervised learning
- machine learning approaches
- inductive learning
- learning tasks
- natural language
- learning systems
- learning problems
- explanation based learning
- network intrusion detection
- semi supervised learning
- detection algorithm
- semi supervised
- information extraction
- data model
- data analysis
- bayesian networks
- computer vision
- artificial intelligence