Clustering-based anomaly detection for smartphone applications.
Ali El AttarRida KhatounMarc LemercierPublished in: NOMS (2014)
Keyphrases
- anomaly detection
- detecting anomalies
- intrusion detection
- network traffic
- mobile devices
- network intrusion detection
- anomalous behavior
- intrusion detection system
- one class support vector machines
- computer security
- mobile applications
- unsupervised anomaly detection
- negative selection algorithm
- detecting anomalous
- behavior analysis
- unsupervised learning
- cumulative sum
- neural network
- network security
- network anomaly detection
- normal behavior
- data processing
- detect anomalies
- dimensionality reduction
- knowledge discovery
- learning algorithm