A framework for automatic anomaly detection in mobile applications.
Mauro BaludaMarco PistoiaPaul C. CastroOmer TrippPublished in: MOBILESoft (2016)
Keyphrases
- anomaly detection
- mobile applications
- intrusion detection
- anomalous behavior
- detecting anomalies
- network traffic
- network intrusion detection
- detecting anomalous
- one class support vector machines
- unsupervised learning
- intrusion detection system
- network security
- detect anomalies
- computer security
- pattern recognition
- mobile phone
- probabilistic model
- active learning