Boosting Positive and Unlabeled Learning for Anomaly Detection With Multi-Features.
Jiaqi ZhangZhenzhen WangJingjing MengYap-Peng TanJunsong YuanPublished in: IEEE Trans. Multim. (2019)
Keyphrases
- anomaly detection
- unsupervised learning
- learning algorithm
- positive and unlabeled examples
- supervised learning
- intrusion detection
- learning process
- connectionist systems
- computer security
- feature extraction
- positive examples
- semi supervised learning
- active learning
- network intrusion detection
- network traffic
- network anomaly detection
- detecting anomalies
- intrusion detection system
- feature space
- training data
- machine learning
- unsupervised anomaly detection
- neural network
- anomalous behavior
- data points
- reinforcement learning
- feature selection
- data mining