Improving the Classification Effectiveness of Network Intrusion Detection Using Ensemble Machine Learning Techniques and Deep Neural Networks.
Yunpeng ZhangYash GandhiZhixia LiZhiwen XiaoPublished in: IDSTA (2022)
Keyphrases
- network intrusion detection
- neural network
- pattern recognition
- machine learning
- training set
- machine learning algorithms
- artificial immune
- classification accuracy
- machine learning methods
- intrusion detection
- support vector
- feature selection
- anomaly detection
- image classification
- ensemble classifier
- multiple classifier systems
- feature vectors
- text classification
- fraud detection
- learning algorithm
- majority voting
- genetic algorithm
- network intrusions
- ensemble learning
- ensemble methods
- intrusion detection system
- class labels
- model selection
- maximum likelihood
- support vector machine
- classifier ensemble
- feature space
- training data
- feature extraction
- decision trees
- network intrusion
- databases