Anomaly Detection in Smart Industrial Machinery Through Hidden Markov Models and Autoencoders.
Radu SorostineanZaharia BurgheleaArpad GellertPublished in: IEEE Access (2024)
Keyphrases
- hidden markov models
- anomaly detection
- intrusion detection
- denoising
- network intrusion detection
- detecting anomalies
- network traffic
- anomalous behavior
- intrusion detection system
- sequential data
- network anomaly detection
- detect anomalies
- hidden states
- one class support vector machines
- conditional random fields
- continuous hidden markov models
- baum welch
- image processing
- normal behavior
- unsupervised learning
- negative selection algorithm
- computer vision
- abnormal activity