A Robust Comparison of the KDDCup99 and NSL-KDD IoT Network Intrusion Detection Datasets Through Various Machine Learning Algorithms.
Suchet SaprePouyan AhmadiKhondkar R. IslamPublished in: CoRR (2019)
Keyphrases
- machine learning algorithms
- network intrusion detection
- intrusion detection
- intrusion detection system
- nsl kdd
- benchmark data sets
- learning algorithm
- network traffic data
- anomaly detection
- machine learning methods
- machine learning
- predictive accuracy
- learning problems
- network intrusion
- network traffic
- decision trees
- network security
- standard machine learning algorithms
- fraud detection
- machine learning and data mining algorithms
- machine learning models
- random forests
- machine learning approaches
- network attacks
- computer networks
- artificial immune
- data mining
- network anomaly detection
- network intrusions
- learning models
- statistical machine learning
- support vector
- real world
- data sets
- maximum likelihood
- probabilistic model