Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning.
Lerina AversanoMario Luca BernardiMarta CimitileDebora MontanoRiccardo PecoriLuca VeltriPublished in: SN Comput. Sci. (2024)
Keyphrases
- anomaly detection
- network traffic
- machine learning
- intrusion detection
- detect anomalies
- network anomaly detection
- anomalous behavior
- unsupervised learning
- network intrusion detection
- detecting anomalies
- intrusion detection system
- network security
- unsupervised anomaly detection
- normal traffic
- behavior analysis
- detecting anomalous
- pattern recognition
- feature selection
- reinforcement learning
- learning algorithm
- real world
- text classification
- negative selection algorithm
- information extraction
- connectionist systems
- computer security
- data mining
- computational intelligence
- supervised learning
- decision trees
- computer networks
- ip address
- self organizing maps
- model selection
- maximum likelihood
- one class support vector machines
- principal component analysis
- active learning
- association rules
- cumulative sum