Pervasive Health Care Applications Face Tough Security Challenges
IEEE Pervasive Computing
User needs for location-aware mobile services
Personal and Ubiquitous Computing
Privacy and Rationality in Individual Decision Making
IEEE Security and Privacy
A framework of energy efficient mobile sensing for automatic user state recognition
Proceedings of the 7th international conference on Mobile systems, applications, and services
Activity-aware ECG-based patient authentication for remote health monitoring
Proceedings of the 2009 international conference on Multimodal interfaces
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
Privacy in mobile technology for personal healthcare
ACM Computing Surveys (CSUR)
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Fitness monitoring is a fundamental service in pervasive healthcare, but finding a balance between usability and privacy is a hard challenge. To lessen users' anxieties in privacy concerns, we propose a new way of identification by only utilizing imprecise biometrics and existing information. Our solution is "hassle free" because it maintains the devices' original user interface without adding additional sensors and sacrificing user privacy. We demonstrate this idea with a fitness monitoring system for the healthy individuals in a workplace. The system uses collected physiological information (weight, blood pressure and heart rate) and context information (computer network activity) to identify a user. Our experiments show that we can achieve a correct user identification of up to 87%. We believe that our solution can serve as an easy addition to the simple interfaces of current technology by enhancing them with smart algorithms.