Combining Support Vector Machines and Segmentation Algorithms for Efficient Anomaly Detection: A Petroleum Industry Application.
Luis MartíNayat Sánchez PiJosé Manuel MolinaAna Cristina Bicharra GarciaPublished in: SOCO-CISIS-ICEUTE (2014)
Keyphrases
- anomaly detection
- one class support vector machines
- petroleum industry
- support vector
- intrusion detection
- detecting anomalies
- network security
- intrusion detection system
- network intrusion detection
- network traffic
- neural network
- unsupervised learning
- image segmentation
- data mining techniques
- anomalous behavior
- object recognition
- network anomaly detection