Lightweight Proof-of-Stake Models for PrivacyPreserving Telemedicine Systems: A Systematic
Review
Dublin Core
Title
Lightweight Proof-of-Stake Models for PrivacyPreserving Telemedicine Systems: A Systematic
Review
Review
Subject
Proof of Stake (PoS), Telemedicine Systems, Lightweight
Models, Data Privacy, Voting Mechanisms, Data Encryption
Models, Data Privacy, Voting Mechanisms, Data Encryption
Description
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.
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.
Creator
Denis Wapukha Walumbe
Source
https://ijcit.com/index.php/ijcit/article/view/508
Publisher
Department of Information Technology,
Murang’a University of Technology
Murang’a, Kenya
Murang’a University of Technology
Murang’a, Kenya
Date
september 2025
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Denis Wapukha Walumbe, “Lightweight Proof-of-Stake Models for PrivacyPreserving Telemedicine Systems: A Systematic
Review,” Repository Horizon University Indonesia, accessed January 1, 2026, https://repository.horizon.ac.id/items/show/9754.
Review,” Repository Horizon University Indonesia, accessed January 1, 2026, https://repository.horizon.ac.id/items/show/9754.