Privacy of Fitness Applications and Consent Management in Blockchain
| Autor: | Alhajri, May, Salehi Shahraki, Ahmad, Rudolph, Carsten |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
FOS: Media and communications
FOS: Computer and information sciences Computer Science - Computers and Society Computer Science - Cryptography and Security 80503 Networking and Communications Computers and Society (cs.CY) 160206 Private Policing and Security Services FOS: Law 80303 Computer System Security 80702 Health Informatics Distributed Computing Cryptography and Security (cs.CR) |
| Zdroj: | Australasian Computer Science Week 2022. |
| Popis: | The rapid advances in fitness wearable devices are redefining privacy around interactions. Fitness wearables devices record a considerable amount of sensitive and private details about exercise, blood oxygen level, and heart rate. Privacy concerns have emerged about the interactions between an individual's raw fitness data and data analysis by the providers of fitness apps and wearable devices. This paper describes the importance of adopting and applying legal frameworks within the fitness tracker ecosystem. In this review, we describe the studies on the current privacy policies of fitness app providers, heuristically evaluate the methods for consent management by fitness providers, summarize the gaps identified in our review of these studies, and discuss potential solutions for filling the gaps identified. We have identified four main problems related to preserving the privacy of users of fitness apps: lack of system transparency, lack of privacy policy legibility, concerns regarding one-time consent, and issues of noncompliance regarding consent management. After discussing feasible solutions, we conclude by describing how blockchain is suitable for solving these privacy issues. Comment: This article has been accepted for publication in a future issue of Australasian Computer Science Week 2022 (ACSW 2022), but has not been fully edited Content may change prior to final publication. Citation information: DOI https://doi.org/10.1145/3511616.3513100, ACSW 2022 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|