A wrapper-based feature selection for improving performance of intrusion detection systems.
Maryam Samadi BonabAli GhaffariFarhad Soleimanian GharehchopoghPayam AlemiPublished in: Int. J. Commun. Syst. (2020)
Keyphrases
- feature selection
- intrusion detection system
- intrusion detection
- network security
- anomaly detection
- computer networks
- network traffic
- network intrusion detection
- network intrusion detection systems
- computer security
- distributed intrusion detection
- feature ranking
- computer systems
- intrusion prevention
- classification accuracy
- text classification
- attack detection
- feature set
- cyber attacks
- dimensionality reduction
- wrapper method
- machine learning
- alert correlation
- cyber security
- knn
- data mining techniques
- model selection
- misuse detection
- network intrusions
- network attacks
- unsupervised learning
- security architecture
- feature subset
- malicious activities
- learning algorithm
- feature space
- pairwise
- information security
- wrapper feature selection
- data sets