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Blockchain-Based Implementation of National Census as a Supplementary Instrument for Enhanced Transparency, Accountability, Privacy, and Security
- Source :
- Future Internet, Vol 16, Iss 1, p 24 (2024)
- Publication Year :
- 2024
- Publisher :
- MDPI AG, 2024.
-
Abstract
- A national population census is instrumental in offering a holistic view of a country’s progress, directly influencing policy formulation and strategic planning. Potential flaws in the census system can have detrimental impacts on national development. Our prior research has pinpointed various deficiencies in current census methodologies, including inadequate population coverage, racial and ethnic discrimination, and challenges related to data privacy, security, and distribution. This study aims to address the “missing persons” challenge in the national census population and housing system. The integration of blockchain technology emerges as a promising solution for addressing these identified issues, enhancing the integrity and efficacy of census processes. Building upon our earlier research which examined the national census system of Pakistan, we propose an architecture design incorporating Hyperledger Fabric, performing system sizing for the entire nation count. The Blockchain-Based Implementation of National Census as a Supplementary Instrument for Enhanced Transparency, Accountability, Privacy, and Security (BINC-TAPS) seeks to provide a robust, transparent, scalable, immutable, and tamper-proof solution for conducting national population and housing censuses, while also fostering socio-economic advancements. This paper presents a comprehensive overview of our research, with a primary focus on the implementation of the blockchain-based proposed solution, including prototype testing and the resulting outcomes.
Details
- Language :
- English
- ISSN :
- 19995903
- Volume :
- 16
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Future Internet
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.be748e69c649a093733e69da6689d8
- Document Type :
- article
- Full Text :
- https://doi.org/10.3390/fi16010024