Anomaly Detection in IoT Networks: From Architectures to Machine Learning Transparency.
Aleks HucDenis TrcekPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- machine learning
- network anomaly detection
- intrusion detection
- detecting anomalies
- anomalous behavior
- unsupervised learning
- network intrusion detection
- intrusion detection system
- network traffic
- one class support vector machines
- decision trees
- network security
- computer security
- detect anomalies
- detecting anomalous
- unsupervised anomaly detection
- text mining
- computer networks
- information extraction
- behavior analysis
- malware detection
- network intrusion
- connectionist systems
- network structure
- pattern recognition
- reinforcement learning
- social networks
- learning algorithm
- data mining
- data sets
- data analysis