Anomaly Detection Procedures in a Real World Dataset by Using Deep-Learning Approaches.
Alabbas Alhaj AliAbdul RasheeqDoina LogofatuCostin BadicaPublished in: ACIIDS (1) (2019)
Keyphrases
- anomaly detection
- deep learning
- one class support vector machines
- intrusion detection
- unsupervised learning
- network intrusion detection
- detecting anomalies
- anomalous behavior
- network traffic
- intrusion detection system
- detect anomalies
- network anomaly detection
- negative selection algorithm
- learning algorithm
- real world
- unsupervised feature learning