Semi-supervised learning via DQN for log anomaly detection.
Yingying HeXiaobing PeiLihong ShenPublished in: CoRR (2024)
Keyphrases
- semi supervised learning
- anomaly detection
- unsupervised learning
- semi supervised
- intrusion detection
- unlabeled data
- supervised learning
- detecting anomalies
- anomalous behavior
- labeled data
- semi supervised classification
- intrusion detection system
- learning problems
- machine learning
- network intrusion detection
- training data
- network traffic
- co training
- label propagation
- active learning
- pattern recognition
- one class support vector machines
- negative selection algorithm
- data analysis
- expectation maximization
- dimensionality reduction
- pairwise
- clustering algorithm
- data mining
- neural network