| dc.description.abstract | Proof of Stake (PoS) models are energy-efficient and
require limited computational power. These features are critical in
telemedicine environments, where resource-constrained devices
must handle sensitive data securely. The growing need for
auditable and privacy-preserving data storage in telemedicine
underscores the importance of PoS models optimized for
lightweight devices while complying with strict regulatory
requirements, such as the Health Insurance Portability and
Accountability Act (HIPAA).This study was guided by two
research questions: (i) Which PoS models are lightweight and
suitable for telemedicine? and (ii) What features make lightweight
PoS models effective for privacy and efficiency in telemedicine? To
address these questions, a systematic literature review (SLR)
guided by the PICOC framework was conducted to investigate
lightweight PoS models that can enhance privacy in telemedicine
systems. Out of 2,394 papers studies screened, 55 were included in
the analysis. The findings identified Algorand, Ouroboros Praos,
Tendermint, Nxt, and Casper CBC as promising candidates. Key
enabling features included lightweight voting mechanisms, such as
Byzantine Agreement protocols and Verifiable Random Functions,
as well as cryptographic techniques like symmetric encryption and
multiparty computation. Performance metrics evaluated included
latency, throughput, energy efficiency, and battery consumption,
with Grey Relational Analysis ranking Algorand highest due to its
low latency, high throughput, and minimal energy consumption | en_US |
