EBDM: Ensemble binary detection models for multi-class wireless intrusion detection based on deep neural network.
Chinyang Henry TsengYa-Ting ChangPublished in: Comput. Secur. (2023)
Keyphrases
- multi class
- intrusion detection
- anomaly detection
- neural network
- binary classification problems
- intrusion detection system
- detecting anomalous
- high detection rate
- error correcting output codes
- network security
- multi class svm
- base classifiers
- object detection
- multi class classification
- network traffic
- binary classifiers
- network intrusion detection
- binary classification
- data mining
- cost sensitive
- support vector machine
- multiclass problems
- multi class svms
- multiple classes
- probabilistic model
- pairwise
- data sets
- multi class boosting
- training set
- detection rate
- detection algorithm
- boosting algorithms
- face detection
- data mining techniques
- model selection
- normal behavior
- training data
- network attacks
- feature extraction
- detection method
- network intrusion detection systems