Machine Learning on Public Intrusion Datasets: Academic Hype or Concrete Advances in NIDS?
Marta CatilloAntonio PecchiaUmberto VillanoPublished in: DSN-S (2023)
Keyphrases
- machine learning
- intrusion detection system
- intrusion detection
- artificial intelligence
- network traffic
- explanation based learning
- machine learning algorithms
- machine learning methods
- data analysis
- decision trees
- recent advances
- reinforcement learning
- neural network
- text mining
- learning systems
- inductive learning
- data sets
- database
- knowledge acquisition
- machine learning approaches
- pattern recognition
- feature selection
- social networks
- computer networks
- training dataset
- computational biology
- network security
- synthetic and real datasets
- uci machine learning repository
- denial of service attacks
- learning tasks
- benchmark datasets
- anomaly detection
- semi supervised learning
- computer systems
- text classification
- information extraction
- active learning
- training data
- case study