Multi-Class Network Intrusion Detection Using Deep Neural Networks Tuned on Imbalanced Data.
Shruti TyagiShriya PingulkarAmaan ShaikhPublished in: ICCST (2023)
Keyphrases
- multi class
- network intrusion detection
- imbalanced data
- neural network
- support vector machine
- cost sensitive
- fraud detection
- base classifiers
- feature selection
- class distribution
- intrusion detection
- class imbalance
- multi class classification
- svm classifier
- pairwise
- random forest
- linear classifiers
- classification models
- ensemble methods
- ensemble classifier
- decision trees
- support vector machine svm
- kernel function
- ensemble learning
- binary classification
- machine learning
- sampling methods
- classification error
- k nearest neighbor
- data streams
- data sets
- high dimensionality
- minority class
- data mining
- rule extraction
- feature extraction
- decision boundary
- active learning
- nearest neighbor