Real-time anomaly detection framework using a support vector regression for the safety monitoring of commercial aircraft.
Hyunseong LeeGuoyi LiAshwin RaiAditi ChattopadhyayPublished in: Adv. Eng. Informatics (2020)
Keyphrases
- anomaly detection
- support vector regression
- detect anomalies
- anomalous behavior
- intrusion detection
- network intrusion detection
- data assimilation
- detecting anomalies
- network traffic
- support vector
- probabilistic model
- support vector classification
- hybrid model
- connectionist systems
- data sets
- network anomaly detection
- intrusion detection system
- regression model
- unsupervised learning
- support vector machine
- reinforcement learning
- feature selection