DeepICU: imbalanced classification by using deep neural networks for network intrusion detection.
Allen YangBoxiang DongDawei LiWeifeng SunBharath K. SamanthulaPublished in: Int. J. Big Data Intell. (2020)
Keyphrases
- network intrusion detection
- neural network
- pattern recognition
- artificial immune
- intrusion detection
- anomaly detection
- classification accuracy
- network intrusion
- support vector machine
- fraud detection
- data sets
- feature vectors
- image classification
- imbalanced data sets
- decision trees
- support vector
- machine learning
- training data
- feature extraction
- class imbalance
- rule extraction
- intrusion detection system
- binary classification problems
- concept drift
- data analysis
- supervised learning
- training set