Investigating Deep Learning for Collective Anomaly Detection - An Experimental Study.
Mohiuddin AhmedAl-Sakib Khan PathanPublished in: SSCC (2018)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- network traffic
- unsupervised feature learning
- intrusion detection system
- network intrusion detection
- machine learning
- network anomaly detection
- one class support vector machines
- supervised learning
- anomalous behavior
- weakly supervised
- mental models
- detect anomalies
- data warehouse
- negative selection algorithm
- data sets