A Multi-Step Anomaly Detection Strategy Based on Robust Distances for the Steel Industry.
Kisan SardaAntonio AcerneseVittorio NolèLeonardo ManfrediLuca GrecoLuigi GlielmoCarmen Del VecchioPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- multi step
- steel industry
- intrusion detection
- anomalous behavior
- network anomaly detection
- network traffic
- detecting anomalies
- network intrusion detection
- unsupervised learning
- detect anomalies
- negative selection algorithm
- intrusion detection system
- listed companies
- cumulative sum
- clustering analysis
- network security
- distance function
- learning algorithm
- differential evolution
- one class support vector machines
- semi supervised
- data mining
- neural network