Choosing Machine Learning Algorithms for Anomaly Detection in Smart Building IoT Scenarios.
Fernando Almaguer-AngelesJohn MurphyLiam MurphyA. Omar Portillo-DominguezPublished in: WF-IoT (2019)
Keyphrases
- machine learning algorithms
- anomaly detection
- benchmark data sets
- intrusion detection
- learning algorithm
- machine learning
- machine learning methods
- decision trees
- learning problems
- anomalous behavior
- network intrusion detection
- detecting anomalies
- detecting anomalous
- network traffic
- machine learning approaches
- intrusion detection system
- machine learning models
- network anomaly detection
- one class support vector machines
- negative selection algorithm
- real world
- network security
- learning tasks
- unsupervised learning
- cumulative sum
- transfer learning
- detect anomalies
- statistical machine learning
- training data
- normal behavior
- natural language processing
- pairwise
- neural network