On Designing Machine Learning Models for Malicious Network Traffic Classification.
Talha OngunTimothy SakharaovSimona BoboilaAlina OpreaTina Eliassi-RadPublished in: CoRR (2019)
Keyphrases
- network traffic
- machine learning models
- malicious code
- machine learning algorithms
- intrusion detection
- machine learning approaches
- spam filtering
- traffic data
- malicious traffic
- anomaly detection
- classification accuracy
- machine learning
- support vector
- real world
- normal traffic
- internet traffic
- network intrusion detection
- decision trees
- network security
- intrusion detection system
- machine learning methods
- classification algorithm
- feature space
- classification models
- probabilistic model
- text classification
- feature extraction
- model selection
- feature selection
- feature set
- data mining
- higher order
- data warehouse