An effective convolutional neural network based on SMOTE and Gaussian mixture model for intrusion detection in imbalanced dataset.
Hongpo ZhangLulu HuangChase Q. WuZhanbo LiPublished in: Comput. Networks (2020)
Keyphrases
- intrusion detection
- gaussian mixture model
- imbalanced datasets
- intrusion detection system
- anomaly detection
- mixture model
- em algorithm
- class distribution
- expectation maximization
- maximum likelihood
- feature vectors
- data sets
- pattern recognition
- reinforcement learning
- fraud detection
- data mining
- multi class
- pairwise
- feature space
- computer vision