Shuaib, Mohammed and Hassan, Noor Hafizah and Usman, Sahnius and Alam, Shadab and Bhatia, Surbhi and Koundal, Deepika and Mashat, Arwa and Belay, Assaye (2022) Identity model for blockchain-based land registry system: a comparison. Wireless Communications and Mobile Computing, 2022 (NA). pp. 1-17. ISSN 1530-8669
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Official URL: http://dx.doi.org/10.1155/2022/5670714
Abstract
The land registry system is one of the essential components of any governance model required to ascertain the ownership records uniquely. This paper reviews the existing literature and provides a detailed literature review consisting of 3 stages based on three research questions (RQ) that highlight the step by step evaluation and analysis. We selected 48 primary articles out of 477 extracted from different scientific databases based on criteria and RQ defined in the research method section. The majority of these papers focus on assessing the identity issues related to the land registry system and reviewing the existing identity models to find the best possible identity model to resolve the identified identity problems in the land registry. This paper examines the current land registry model and its shortcomings. It explains the various blockchain types and their characteristics. It further evaluates the usability of blockchain technology in different aspects of the land registry. Identity management is one of such weaknesses in the blockchain-based land registry model that has been assessed in detail. Identity issues of blockchain-based models have been further evaluated on defined criteria. The paper ends with a discussion on possible identity models and their comparative analysis to ascertain the most suitable identity model to resolve the identity issues of land registry systems.
Item Type: | Article |
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Uncontrolled Keywords: | land registries, literature reviews, research method |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Razak School of Engineering and Advanced Technology |
ID Code: | 104785 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 01 Mar 2024 01:50 |
Last Modified: | 01 Mar 2024 01:50 |
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