An OMNeT++-Based Approach to Narrowband-IoT Traffic Generation for Machine Learning-Based Anomaly Detection.
Paul L. DariusDenis RangelovPhilipp LämmelNikolay TcholtchevPublished in: IoTaIS (2023)
Keyphrases
- anomaly detection
- network traffic
- machine learning
- detect anomalies
- intrusion detection
- network anomaly detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- unsupervised learning
- intrusion detection system
- detecting anomalous
- one class support vector machines
- unsupervised anomaly detection
- normal traffic
- computer security
- network security
- learning algorithm
- information extraction
- text classification
- pattern recognition
- traffic flow
- reinforcement learning
- feature selection
- cumulative sum
- traffic patterns
- data mining
- support vector machine
- natural language processing
- malware detection
- behavior analysis
- supervised learning
- pairwise
- association rules
- computer networks