Anomaly detection via blockchained deep learning smart contracts in industry 4.0.
Konstantinos DemertzisLazaros IliadisNikos TziritasPanagiotis KikirasPublished in: Neural Comput. Appl. (2020)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- machine learning
- network intrusion detection
- network anomaly detection
- detecting anomalies
- network traffic
- mental models
- anomalous behavior
- intrusion detection system
- weakly supervised
- training data
- one class support vector machines
- neural network
- generative model
- supervised learning
- question answering
- semi supervised
- computer vision
- detect anomalies