On the performance of a deep learning-based anomaly detection system for 5G networks.
Lorenzo Fernández MaimóFélix J. García ClementeManuel Gil PérezGregorio Martínez PérezPublished in: SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- unsupervised feature learning
- machine learning
- network anomaly detection
- intrusion detection system
- network traffic
- detect anomalies
- data sets
- weakly supervised
- one class support vector machines
- negative selection algorithm
- learning strategies
- domain specific
- supervised learning
- semi supervised
- pairwise
- object recognition
- neural network