A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks.
Joveria RubabHammad AfzalWaleed Bin ShahidPublished in: ACIIDS (2) (2022)
Keyphrases
- machine learning algorithms
- network attacks
- intrusion detection
- network intrusion detection
- input features
- machine learning models
- benchmark data sets
- network security
- machine learning approaches
- learning algorithm
- intrusion detection system
- machine learning
- machine learning methods
- decision trees
- learning problems
- learning models
- predictive accuracy
- dos attacks
- standard machine learning algorithms
- network traffic
- feature space
- random forests
- machine learning systems
- statistical machine learning
- data sets
- supervised machine learning algorithms
- computer networks
- feature values
- anomaly detection
- supervised learning
- semi supervised