Cadastral: Blockchain-Based Land Registration System

In an era of evolving property management and ownership practices, blockchain technology emerges as a transformative force and revolutionizes traditional land registration systems. This conceptual approach is a vision of a future world where property transactions occur without glitches. Based on a network of nodes that perform the data distribution, blockchain does not require a central authority (decentralized) and significantly decreases the possibility of data manipulation. Utilizing blockchain's chain of custody and cryptographic features, a land registration system is strongly anticipated to counter existing challenges in the real estate industry, such as fraud, conflicts, and procedural bottlenecks that have been frustrating the industry for decades. The project deploys Solidity-based self-executing smart contracts to automate and enforce agreements related to property transfer, boosting efficiency and cutting out intermediaries. Users self-register and upload the required documents to the system. The critical aspect is that the user is verified only after the inspector meticulously assesses their details using the government database. After assessment, the user can use the application to sell or buy land. The inspector also surveys the land physically before granting permission to make the land available for purchase. The buyer and seller agree on a price before generating the ownership deed. Smart contracts are created for each of these steps from user registration to transfer of ownership, and stored in the local blockchain. Cryptographic algorithm, Hash Algorithm SHA-256 is utilized to protect user's sensitive information and keep anyone from unauthorized access and InterPlanetary File System (IPFS) for file storage.

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Publication Details

Published
2024-09-26
DOI
https://doi.org/10.1109/eecsi63442.2024.10776335
Primary Topic
3D Modeling in Geospatial Applications
Type
article
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article

Cadastral: Blockchain-Based Land Registration System

Santhanam Suresh, Kevin Van, Chandan Yadav, Merlin Jacob et al.
3D Modeling in Geospatial Applications
article

Cadastral: Blockchain-Based Land Registration System

Santhanam Suresh, Kevin Van, Chandan Yadav, Merlin Jacob, Varsha Wangikar
article en

Abstract

In an era of evolving property management and ownership practices, blockchain technology emerges as a transformative force and revolutionizes traditional land registration systems. This conceptual approach is a vision of a future world where property transactions occur without glitches. Based on a network of nodes that perform the data distribution, blockchain does not require a central authority (decentralized) and significantly decreases the possibility of data manipulation. Utilizing blockchain's chain of custody and cryptographic features, a land registration system is strongly anticipated to counter existing challenges in the real estate industry, such as fraud, conflicts, and procedural bottlenecks that have been frustrating the industry for decades. The project deploys Solidity-based self-executing smart contracts to automate and enforce agreements related to property transfer, boosting efficiency and cutting out intermediaries. Users self-register and upload the required documents to the system. The critical aspect is that the user is verified only after the inspector meticulously assesses their details using the government database. After assessment, the user can use the application to sell or buy land. The inspector also surveys the land physically before granting permission to make the land available for purchase. The buyer and seller agree on a price before generating the ownership deed. Smart contracts are created for each of these steps from user registration to transfer of ownership, and stored in the local blockchain. Cryptographic algorithm, Hash Algorithm SHA-256 is utilized to protect user's sensitive information and keep anyone from unauthorized access and InterPlanetary File System (IPFS) for file storage.

Openalex Percentile: Top 75%
3D Modeling in Geospatial Applications
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