Deep Learning-Based Adaptive Compression and Anomaly Detection for Smart B5G Use Cases Operation.
Ahmad El SayedMarc RuizHassan HarbLuis VelascoPublished in: Sensors (2023)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- machine learning
- network traffic
- one class support vector machines
- intrusion detection system
- negative selection algorithm
- network anomaly detection
- weakly supervised
- data sets
- mental models
- multiscale
- detect anomalies
- computer vision
- neural network
- supervised learning
- active learning
- real world