Anomaly Detection of actual IoT traffic flows through Deep Learning.
Lerina AversanoMario Luca BernardiMarta CimitileRiccardo PecoriPublished in: ICMLA (2021)
Keyphrases
- anomaly detection
- deep learning
- traffic flows
- unsupervised learning
- road traffic
- traffic flow
- network traffic
- traffic patterns
- traffic management
- intrusion detection
- travel time
- intrusion detection system
- machine learning
- mental models
- weakly supervised
- detect anomalies
- network security
- cloud computing
- expectation maximization
- traffic data
- text classification
- traffic conditions
- dimensionality reduction
- traffic engineering
- pattern recognition
- bayesian networks
- image sequences
- image processing