Poster abstract: a mobile-cloud service for physiological anomaly detection on smartphones.
Dezhi HongS. M. Shahriar NirjonJohn A. StankovicDavid J. StoneGuobin ShenPublished in: IPSN (2013)
Keyphrases
- anomaly detection
- mobile devices
- mobile services
- mobile applications
- cloud services
- smart phones
- intrusion detection
- detecting anomalies
- network intrusion detection
- mobile phone
- intrusion detection system
- anomalous behavior
- cloud computing
- mobile learning
- network traffic
- mobile users
- user experience
- one class support vector machines
- network anomaly detection
- mobile web
- mobile technologies
- detect anomalies
- m learning
- unsupervised learning
- data mining
- data center
- service providers
- context aware
- data analysis
- computing environments
- reinforcement learning
- database
- cumulative sum