AnoML-IoT: An end to end re-configurable multi-protocol anomaly detection pipeline for Internet of Things.
Hakan KayanYasar MajibWael AlsaferyMahmoud BarhamgiCharith PereraPublished in: Internet Things (2021)
Keyphrases
- end to end
- anomaly detection
- internet protocol
- transport layer
- application layer
- intrusion detection
- detecting anomalies
- anomalous behavior
- congestion control
- network intrusion detection
- wireless ad hoc networks
- network anomaly detection
- intrusion detection system
- network traffic
- network security
- detect anomalies
- transport protocol
- ad hoc networks
- location information
- machine learning
- mobile computing
- unsupervised learning
- mobile devices
- one class support vector machines
- cloud computing
- text localization and recognition
- network layer
- supervised learning
- active learning
- training data
- real world