Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset.
Soulaiman MouallaKhaldoun KhorzomAssef JafarPublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- machine learning
- network intrusion detection systems
- decision trees
- intrusion detection system
- intrusion detection
- network intrusion
- benchmark datasets
- machine learning methods
- machine learning algorithms
- learning algorithm
- pattern recognition
- active learning
- information extraction
- natural language processing
- artificial intelligence
- synthetic datasets
- logistic regression
- semi supervised learning
- knowledge acquisition
- text classification
- model selection
- text mining
- supervised learning
- support vector machine
- data analysis
- inductive logic programming
- support vector
- fraud detection
- network intrusion detection
- computer vision
- databases