A Gradient Boosted ML Approach to Feature Selection for Wireless Intrusion Detection.
Birupaxha MondalFahim FaisalZeba Tusnia TowshiMd Fahad MonirTarem AhmedPublished in: VTC2023-Spring (2023)
Keyphrases
- intrusion detection
- feature selection
- intrusion detection system
- anomaly detection
- maximum likelihood
- network intrusion detection
- wireless networks
- network security
- network traffic
- high detection rate
- network intrusion
- feature space
- information security
- multi class
- intrusion prevention
- artificial immune
- text classification
- dimensionality reduction
- cyber security
- data mining
- unsupervised learning
- false positives and false negatives
- support vector
- detecting anomalous
- mobile ad hoc networks
- computer security
- machine learning
- real world
- network intrusion detection systems
- database systems
- feature extraction
- pairwise
- data mining techniques
- model selection