Iterative Per Group Feature Selection For Intrusion Detection.
Zina ChkirbeneAiman ErbadRidha HamilaAla GouissemAmr MohamedMohsen GuizaniMounir HamdiPublished in: IWCMC (2020)
Keyphrases
- intrusion detection
- feature selection
- intrusion detection system
- anomaly detection
- network security
- network intrusion detection
- network traffic
- network intrusions
- detecting anomalous
- machine learning
- network intrusion
- artificial immune
- data mining techniques
- information security
- high detection rate
- text classification
- model selection
- false positives and false negatives
- computer security
- dimensionality reduction
- network intrusion detection systems
- support vector
- alert correlation
- fraud detection
- data mining
- classification accuracy
- training data
- feature space
- multi class
- information retrieval
- feature extraction
- network attacks
- data analysis