A Review of Deep Learning-Based Anomaly Detection Strategies in Industry 4.0 Focused on Application Fields, Sensing Equipment, and Algorithms.
Adriano LisoAngelo CardellicchioCosimo PatrunoMassimiliano NittiPierfrancesco ArdinoEttore StellaVito RenòPublished in: IEEE Access (2024)
Keyphrases
- anomaly detection
- deep learning
- application fields
- unsupervised learning
- one class support vector machines
- anomalous behavior
- intrusion detection
- network anomaly detection
- network traffic
- machine learning
- data sets
- detecting anomalies
- maximum entropy
- mental models
- intrusion detection system
- learning strategies
- support vector machine
- real world