Reconstructing Classification to Enhance Machine-Learning Based Network Intrusion Detection by Embracing Ambiguity.
Chungsik SongWenjun FanSang-Yoon ChangYounghee ParkPublished in: SVCC (2020)
Keyphrases
- network intrusion detection
- machine learning
- machine learning methods
- pattern recognition
- decision trees
- supervised learning
- machine learning algorithms
- intrusion detection
- network anomaly detection
- classification accuracy
- support vector machine
- text classification
- feature selection
- anomaly detection
- feature extraction
- network intrusion
- fraud detection
- data sets
- computational intelligence
- data mining
- databases
- artificial immune
- intrusion detection system
- network intrusions
- unsupervised learning
- natural language processing
- feature vectors
- support vector
- image classification
- network traffic
- cost sensitive
- knowledge discovery
- active learning
- feature space
- learning algorithm