Tokens Shuffling Approach for Privacy, Security, and Reliability in IoHT under a Pandemic
Metadata
Show full item recordAuthor
Mahmoud Bahbouh, NourEditorial
MDPI
Materia
Protection Health Medical Preserving Attacks TSA
Date
2022-12-22Referencia bibliográfica
Bahbouh, N... [et al.]. Tokens Shuffling Approach for Privacy, Security, and Reliability in IoHT under a Pandemic. Appl. Sci. 2023, 13, 114. [https://doi.org/10.3390/app13010114]
Abstract
Privacy and security are unavoidable challenges in the future of smart health services and
systems. Several approaches for preserving privacy have been provided in the Internet of Health
Things (IoHT) applications. However, with the emergence of COVID-19, the healthcare centers
needed to track, collect, and share more critical data such as the location of those infected and
monitor social distancing. Unfortunately, the traditional privacy-preserving approaches failed to
deal effectively with emergency circumstances. In the proposed research, we introduce a Tokens
Shuffling Approach (TSA) to preserve collected data’s privacy, security, and reliability during the
pandemic without the need to trust a third party or service providers. TSA depends on a smartphone
application and the proposed protocol to collect and share data reliably and safely. TSA depends
on a proposed algorithm for swapping the identities temporarily between cooperated users and
then hiding the identities by employing fog nodes. The fog node manages the cooperation process
between users in a specific area to improve the system’s performance. Finally, TSA uses blockchain to
save data reliability, ensure data integrity, and facilitate access. The results prove that TSA performed
better than traditional approaches regarding data privacy and the performance level. Further, we
noticed that it adapted better during emergency circumstances. Moreover, TSA did not affect the
accuracy of the collected data or its related statistics. On the contrary, TSA will not affect the quality
of primary healthcare services.