Affiliation:
1. University of Lausanne & EPFL, Lausanne, Switzerland
2. University of Lausanne, Lausanne, Switzerland
Abstract
Over the past decade, wearable activity trackers (WATs) have become increasingly popular. However, despite many research studies in different fields (e.g. psychology, health, and design), few have sought to jointly examine the critical aspects of utility (i.e., benefits brought by these devices), privacy, and security (i.e., risks and vulnerabilities associated with them). To fill this gap, we reviewed 236 studies that researched the benefits of using WATs, the implications for the privacy of users of WATs, and the security vulnerabilities of these devices. Our survey revealed that these devices expose users to several threats. For example, WAT data can be mined to infer private information, such as the personality traits of the user. Whereas many works propose empirical findings about users’ privacy perceptions and their behaviors in relation to privacy, we found relatively few studies researching technologies to better protect users’ privacy with these devices. This survey contributes to systematizing knowledge on the utility, privacy, and security of WATs, shedding light on the state-of-the-art approaches with these devices, and discussing open research opportunities.
Funder
Swiss National Science Foundation
Armasuisse S+T
Publisher
Association for Computing Machinery (ACM)
Reference270 articles.
1. Attend and Discriminate
2. The Mediating Role of Organizational Reputation and Trust in the Intention to Use Wearable Health Devices: Cross-Country Study
3. Identifying Mobile Sensing Indicators of Stress-Resilience
4. A. Aktypi, J. R. Nurse, and M. Goldsmith. 2017. Unwinding Ariadne’s identity thread: Privacy risks with fitness trackers and online social networks. In Proceedings of the Conference on Multimedia Privacy and Security (MPS ’17). ACM, 1–11. DOI:10.1145/3137616.3137617
5. A. Almogbil, A. Alghofaili, C. Deane, T. Leschke, A. Almogbil, and A. Alghofaili. 2020. Digital forensic analysis of Fitbit wearable technology: An investigator’s guide. In Proceedings of the IEEE International Conference on Cyber Security and Cloud Computing (CSCloud ’20)International Conference on Edge Computing and Scalable Cloud (EdgeCom ’20). IEEE, 44–49. DOI:10.1109/CSCloud-EdgeCom49738.2020.00017
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献