On-Device Tiny Machine Learning for Anomaly Detection Based on the Extreme Values Theory.
Eduardo S. PereiraLeonardo S. MarcondesJosemar M. SilvaPublished in: IEEE Micro (2023)
Keyphrases
- anomaly detection
- machine learning
- extreme values
- intrusion detection
- network anomaly detection
- network intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- computer security
- unsupervised anomaly detection
- intrusion detection system
- detecting anomalous
- unsupervised learning
- one class support vector machines
- behavior analysis
- data mining
- negative selection algorithm
- detect anomalies
- connectionist systems
- supervised learning
- network security
- information extraction
- pattern recognition
- decision trees
- feature selection
- computational intelligence
- learning algorithm
- data sets
- knowledge discovery
- computer vision
- graphical models
- cumulative sum
- text classification