High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning.
Sarah M. ErfaniSutharshan RajasegararShanika KarunasekeraChristopher LeckiePublished in: Pattern Recognit. (2016)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- high dimensional
- one class support vector machines
- dimensionality reduction
- intrusion detection
- network traffic
- unsupervised feature learning
- network intrusion detection
- detecting anomalies
- machine learning
- network anomaly detection
- intrusion detection system
- anomalous behavior
- supervised learning
- mental models
- object recognition
- weakly supervised
- information retrieval
- model selection
- data points
- detect anomalies
- real world
- text mining