Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios.
Andrea TomaAli KrayaniLucio MarcenaroYue GaoCarlo S. RegazzoniPublished in: PIMRC (2020)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- mental models
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- intrusion detection system
- weakly supervised
- machine learning
- network anomaly detection
- detect anomalies
- supervised learning
- one class support vector machines
- text classification
- data mining
- dimensionality reduction
- object recognition
- normal behavior
- negative selection algorithm
- learning strategies
- data sets
- expectation maximization
- clustering algorithm
- decision making
- neural network