A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain

Raj, Anu; Prakash, Shiva

doi:10.4018/ijssci.310942

Cited by 16 publications

(5 citation statements)

References 45 publications

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“…Similarly, Raj et al. have suggested a customized access control system specifically designed for monitoring systems in the Healthcare domain [14]. This validates the effectiveness of the technology and its appropriateness for these fields.…”

Section: Introductionmentioning

confidence: 72%

“…As exemplified, Umran et al have utilized the characteristics of blockchain to address the privacy and security needs related to data exchange in the field of Industrial Internet of Things (IIoTs) [13]. Similarly, Raj et al have suggested a customized access control system specifically designed for monitoring systems in the Healthcare domain [14]. This validates the effectiveness of the technology and its appropriateness for these fields.…”

Section: Introductionmentioning

confidence: 99%

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A blockchain‐based secure framework for data management

Zorlu,

Ozsoy

2024

IET Communications

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Data management is a crucial requirement due to the autonomous and constrained nature of Unmanned Aerial Vehicles (UAVs), Internet of Things (IoTs), and the aviation domain. The autonomous and restricted nature of these sectors increases the need for a shared, distributed database, strong access control management, consensus in autonomous decision‐making, and effective communication across diverse protocols and devices. This research presents a comprehensive approach and offers a new viewpoint to the field of blockchain while establishing a fundamental baseline for future improvements in data management systems and addressing the shortcomings of previously proposed existing frameworks in order to fulfill the complex needs of secure data management. This study contributes to the advancement of secure and efficient data management systems by implementing robust data monitoring for error detection, ensuring data integrity, and enabling encrypted or anonymous data sharing based on sensitivity levels. Additionally, the integration of diverse devices, enforcement of immutable regulations compliance, and development of permissioned blockchain systems for identity management further enhance the system's capabilities, offering comprehensive solutions for modern data management challenges. In the tests, the proposed framework showed increased successful transactions in all rate controllers. Besides, effect of the validator number on throughput and latency is tested and analyzed thoroughly.

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Section: Introductionmentioning

confidence: 72%

Section: Introductionmentioning

confidence: 99%

A blockchain‐based secure framework for data management

Zorlu,

Ozsoy

2024

IET Communications

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“…This allows data to be tracked securely and transparently. To decrease installation and implementation delay as well as mean reaction latency in the real-time smart healthcare system, Raj et al developed blockchain-based identity management for a health surveillance system to decrease installation and implementation delay and mean reaction latency in the real-time smart healthcare system [23]. Using a blockchain network, Gupta et al suggested a very effective attribute-based searchable encryption strategy for cloud-based cyber-physical medical systems [24].…”

Section: Literature Surveymentioning

confidence: 99%

Harnessing Blockchain to Address Plasma Donation Network Challenges

Batra,

Zubair Khan,

Priyadarshi

et al. 2023

Computers, Materials &Amp; Continua

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Plasma therapy is an extensively used treatment for critically unwell patients. For this procedure, a legitimate plasma donor who can continue to supply plasma after healing is needed. However, significant dangers are associated with supply management, such as the ambiguous provenance of plasma and the spread of infected or subpar blood into medicinal fabrication. Also, from an ideological standpoint, less powerful people may be exploited throughout the contribution process. Moreover, there is a danger to the logistics system because there are now just some plasma shippers. This research intends to investigate the blockchain-based solution for blood plasma to facilitate authentic plasma transfer. Blockchain parameters, including electronic identification, chain code, and certified ledgers, have the potential to exert a substantial, profound influence on the distribution and implementation process of blood banks. To understand the practical ramifications of blockchain, the current study provides a proof of concept approach that aims to simulate the procedural code of modern plasma distribution ecosystems using a blockchain-based architecture. The agent-based modeling used in the testing and evaluation mimics the supply chain to assess the blockchain's feasibility, advantages, and constraints for the plasma.

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“…It can help improve efficiency, reduce costs, enhance security and protect privacy in these areas. Raj et al [1] proposed an access control for a healthcare monitoring system using blockchain-based smart contracts. The proposed method can effectively improve the privacy and security of patient data.…”

Section: Introductionmentioning

confidence: 99%

NFT Security Matrix: Towards Modeling NFT Ecosystem Threat

Liao,

Liu,

Yin

et al. 2024

CMES

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Digital assets have boomed over the past few years with the emergence of Non-fungible Tokens (NFTs). To be specific, the total trading volume of digital assets reached an astounding $55.5 billion in 2022. Nevertheless, numerous security concerns have been raised by the rapid expansion of the NFT ecosystem. NFT holders are exposed to a plethora of scams and traps, putting their digital assets at risk of being lost. However, academic research on NFT security is scarce, and the security issues have aroused rare attention. In this study, the NFT ecological process is comprehensively explored. This process falls into five different stages encompassing the entire lifecycle of NFTs. Subsequently, the security issues regarding the respective stage are elaborated and analyzed in depth. A matrix model is proposed as a novel contribution to the categorization of NFT security issues. Diverse data are collected from social networks, the Ethereum blockchain, and NFT markets to substantiate our claims regarding the severity of security concerns in the NFT ecosystem. From this comprehensive dataset, nine key NFT security issues are identified from the matrix model and then subjected to qualitative and quantitative analysis. This study aims to shed light on the severity of NFT ecosystem security issues. The findings stress the need for increased attention and proactive measures to safeguard the NFT ecosystem.

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A Privacy-Preserving Authentic Healthcare Monitoring System Using Blockchain

Cited by 16 publications

References 45 publications

A blockchain‐based secure framework for data management

A blockchain‐based secure framework for data management

Harnessing Blockchain to Address Plasma Donation Network Challenges

NFT Security Matrix: Towards Modeling NFT Ecosystem Threat

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