A Comprehensive Analysis of Accuracies of Machine Learning Algorithms for Network Intrusion Detection.
Anurag DasSamuel A. AjilaChung-Horng LungPublished in: MLN (2019)
Keyphrases
- machine learning algorithms
- comprehensive analysis
- network intrusion detection
- intrusion detection
- benchmark data sets
- learning algorithm
- anomaly detection
- fraud detection
- network intrusion
- decision trees
- machine learning
- machine learning methods
- intrusion detection system
- predictive accuracy
- learning problems
- artificial immune
- network traffic
- network anomaly detection
- learning models
- learning tasks
- machine learning approaches
- network attacks
- databases
- svm solvers
- machine learning models
- random forests
- network security
- machine learning systems
- data sets
- standard machine learning algorithms
- input features
- statistical machine learning
- information systems
- network intrusions