Deep Learning for Anomaly Detection.
Ruoying WangKexin NieYen-Jung ChangXinwei GongTie WangYang YangBo LongPublished in: KDD (2020)
Keyphrases
- negative selection algorithm
- deep learning
- anomaly detection
- unsupervised learning
- intrusion detection
- unsupervised feature learning
- network traffic
- detecting anomalies
- network intrusion detection
- anomalous behavior
- one class support vector machines
- machine learning
- intrusion detection system
- weakly supervised
- network anomaly detection
- mental models
- detect anomalies
- named entities
- expectation maximization
- supervised learning
- feature extraction