Intrusion Detection of Imbalanced Network Traffic Based on Machine Learning and Deep Learning.
Lan LiuPengcheng WangJun LinLangzhou LiuPublished in: IEEE Access (2021)
Keyphrases
- deep learning
- network traffic
- intrusion detection
- machine learning
- intrusion detection system
- anomaly detection
- network security
- unsupervised learning
- computer networks
- network traffic data
- data mining
- network intrusion detection
- network intrusions
- traffic data
- network management
- information security
- detecting anomalous
- network monitoring
- mental models
- data mining techniques
- active learning
- support vector machine
- supervised learning
- weakly supervised
- network intrusion
- reinforcement learning
- pattern recognition
- feature selection
- data analysis
- traffic patterns
- network attacks
- model selection
- information extraction
- stream data
- decision trees
- dimensionality reduction
- malicious traffic