Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date Dataset.
Gözde KaratasÖnder DemirOzgur Koray SahingozPublished in: IEEE Access (2020)
Keyphrases
- machine learning
- intrusion detection system
- learning algorithm
- database
- feature selection
- machine learning methods
- computer science
- pattern recognition
- anomaly detection
- text mining
- machine learning algorithms
- learning systems
- machine learning approaches
- data mining
- benchmark datasets
- intrusion detection
- network intrusion detection
- semi supervised learning
- data analysis
- information systems
- text classification
- information extraction
- high dimensional
- training data
- decision trees
- inductive learning
- network security
- computer vision
- artificial intelligence