Performance Enhancement of Intrusion Detection System Using Machine Learning Algorithms with Feature Selection.
Anuradha Samkham RajuMd. Mamunur RashidFariza SabrinaPublished in: ITNAC (2021)
Keyphrases
- machine learning algorithms
- intrusion detection system
- feature selection
- intrusion detection
- machine learning
- input features
- benchmark data sets
- learning algorithm
- computer networks
- network security
- anomaly detection
- distributed intrusion detection
- decision trees
- predictive accuracy
- statistical machine learning
- network intrusion detection
- learning problems
- machine learning methods
- network traffic
- random forests
- attack detection
- feature set
- machine learning approaches
- information gain
- alert correlation
- text classification
- text categorization
- support vector machine
- learning models
- data mining
- machine learning systems
- selected features
- computer systems
- classification models
- data sets
- data mining techniques
- model selection
- standard machine learning algorithms
- misuse detection
- network attacks
- multi class
- feature subset
- normal behavior
- reinforcement learning
- information systems
- unauthorized access
- classification accuracy
- dimensionality reduction
- machine learning and data mining algorithms
- knn