Intrusion Traffic Detection and Classification Based on Unsupervised Learning.
Zhaogen ZhongCunxiang XieXibo TangPublished in: IEEE Access (2024)
Keyphrases
- unsupervised learning
- anomaly detection
- supervised learning
- pattern recognition
- network traffic
- support vector
- decision trees
- classification accuracy
- intrusion detection
- object recognition
- image classification
- automatic classification
- classification method
- pattern classification
- classification models
- feature vectors
- training set
- digital mammograms
- real time
- feature space
- feature extraction
- class labels
- classification algorithm
- false alarms
- text classification
- feature extraction and classification
- neyman pearson
- detection algorithm
- expectation maximization
- dimensionality reduction
- support vector machine
- feature selection
- machine learning
- data sets