ConNet: Deep Semi-Supervised Anomaly Detection Based on Sparse Positive Samples.
Feng GaoJing LiRuiying ChengYi ZhouYing YePublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- positive samples
- semi supervised
- unsupervised anomaly detection
- negative samples
- sparse pca
- intrusion detection
- unsupervised learning
- semi supervised learning
- detecting anomalies
- labeled data
- anomalous behavior
- support vector machine
- network intrusion detection
- unlabeled data
- network traffic
- pairwise
- supervised learning
- one class support vector machines
- active learning
- detect anomalies
- intrusion detection system
- novelty detection
- network security
- network anomaly detection
- connectionist systems
- similarity measure
- image segmentation
- hidden markov models
- negative selection algorithm
- high dimensional