Cargando…
An Evolutionary Game-Theoretic Approach for Assessing Privacy Protection in mHealth Systems
With the rapid deployment of mobile technologies and their applications in the healthcare domain, privacy concerns have emerged as one of the most critical issues. Traditional technical and organizational approaches used to address privacy issues ignore economic factors, which are increasingly impor...
Autores principales: | Zhu, Guang, Liu, Hu, Feng, Mining |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210030/ https://www.ncbi.nlm.nih.gov/pubmed/30297659 http://dx.doi.org/10.3390/ijerph15102196 |
Ejemplares similares
-
Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach
por: Hutton, Luke, et al.
Publicado: (2018) -
A game theoretic approach to balance privacy risks and familial benefits
por: Guo, Jia, et al.
Publicado: (2023) -
Privacy and Security in Mobile Health (mHealth)
Research
por: Arora, Shifali, et al.
Publicado: (2014) -
mHealth Systems Need a Privacy-by-Design Approach: Commentary on “Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review”
por: Tewari, Ambuj
Publicado: (2023) -
Extending the Privacy Calculus to the mHealth Domain: Survey Study on the Intention to Use mHealth Apps in Germany
por: von Kalckreuth, Niklas, et al.
Publicado: (2023)