A data-driven approach for intrusion and anomaly detection using automated machine learning for the Internet of Things.
Hao XuZihan SunYuan CaoHazrat BilalPublished in: Soft Comput. (2023)
Keyphrases
- anomaly detection
- machine learning
- intrusion detection
- intrusion detection system
- network anomaly detection
- network intrusion detection
- anomaly based intrusion detection
- network traffic
- detecting anomalies
- anomalous behavior
- network security
- unsupervised learning
- network intrusion
- unsupervised anomaly detection
- data mining
- mobile devices
- active learning
- negative selection algorithm
- computer security
- pattern recognition
- decision trees
- behavior analysis
- supervised learning
- one class support vector machines
- feature selection
- detecting anomalous
- genetic algorithm
- computational intelligence
- information extraction
- pattern mining
- ambient intelligence
- model selection
- text classification
- support vector machine
- learning algorithm