Health data is being increasingly sensed from the health-based wearable Internet of Things (IoT) devices, providing much-needed fitness and health tracking. However, data generated also presents opportunities within computer security, specifically with biometric systems used for identification and authentication purposes. This paper performs a systematic review of health-based IoT data collected from wearable IoT technology. This involved performing research in the underlying data sources, what they are collected for in terms of their health monitoring, and the underlying data characteristics. Furthermore, it explores existing work in computer security using these data sources, identifying key themes of work, key limitations and challenges. Finally, key opportunities are provided as summaries to the potential of health-based IoT data, highlighting challenges that are yet to be addressed, which motivate areas of future work.
|Journal||ACM Computing Surveys|
|Publication status||Accepted/In press - 9 May 2020|
Khan, S., Parkinson, S., Grant, L., Liu, N., & McGuire, S. (Accepted/In press). Biometric Systems utilising Health Data From Wearable Devices: Applications and Future Challenges in Computer Security. ACM Computing Surveys.