A Host-Based Anomaly Detection Framework Using XGBoost and LSTM for IoT Devices.
Xiali WangXiang LuPublished in: Wirel. Commun. Mob. Comput. (2020)
Keyphrases
- anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- detecting anomalous
- network anomaly detection
- mobile devices
- network security
- unsupervised anomaly detection
- one class support vector machines
- computer security
- data sets
- intrusion detection system
- unsupervised learning
- semi supervised
- pattern recognition