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- Title
Securing Construction Workers' Data Security and Privacy with Blockchain Technology.
- Authors
Saah, Alvina Ekua Ntefua; Yee, Jurng-Jae; Choi, Jae-Ho
- Abstract
The construction industry, characterized by its intricate network of stakeholders and diverse workforce, grapples with the challenge of managing information effectively. This study delves into this issue, recognizing the universal importance of safeguarding data, particularly amid rising concerns around unauthorized access and breaches. Aiming to harness the potential of blockchain technology to address these challenges, this study used hypothetical biographical and safety data of construction workers securely stored on a Hyperledger Fabric blockchain. Developed within the Amazon Web Services (AWS) cloud platform, this blockchain infrastructure emerged as a robust solution for enhancing data security and privacy. Anchored in the core principles of data security, the model emerges as a potent defender against the vulnerabilities of traditional data management systems. Beyond its immediate implications, this study exemplifies the marriage of blockchain technology and the construction sector, and its potential for reshaping workforce management, especially in high-risk projects and optimizing risk assessment, resource allocation, and safety measures to mitigate work-related injuries. Practical validation through transaction testing using Hyperledger Explorer validates the model's feasibility and operational effectiveness, thus serving as a blueprint for the industry's data management. Ultimately, this research not only showcases the promise of blockchain technology in addressing construction data security challenges but also underscores its practical applicability through comprehensive testing, thus heralding a new era of data management that harmonizes security and efficiency for stakeholders' benefit.
- Subjects
AMAZON Web Services Inc.; DATA privacy; BLOCKCHAINS; DATA security; CONSTRUCTION workers; DATA management
- Publication
Applied Sciences (2076-3417), 2023, Vol 13, Issue 24, p13339
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app132413339