Group anomaly detection in mobile app usages: A spatiotemporal convex hull methodology.
Agathe BlaiseMathieu BouetVania ConanStefano SecciPublished in: Comput. Networks (2022)
Keyphrases
- anomaly detection
- convex hull
- mobile apps
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- network traffic
- intrusion detection system
- convex polyhedra
- unsupervised learning
- mobile applications
- detect anomalies
- network anomaly detection
- feature extraction
- image processing
- negative selection algorithm
- text classification
- principal component analysis
- semi supervised
- data points
- optimal solution
- machine learning
- databases