On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study.
Luis MartíNayat Sánchez PiJosé M. Molina LópezAna Cristina Bicharra GarciaPublished in: J. Appl. Log. (2017)
Keyphrases
- anomaly detection
- comparative study
- intrusion detection
- support vector
- one class support vector machines
- petroleum industry
- anomalous behavior
- network intrusion detection
- detecting anomalies
- unsupervised anomaly detection
- feature selection
- learning algorithm
- network traffic
- intrusion detection system
- detecting anomalous
- network anomaly detection
- optimization algorithm
- support vector machine
- artificial neural networks
- high dimensional
- image processing
- computer vision