A Novel Strategy for Streamlining Land Registration using Ethereum Blockchain

Authors

Keywords:

Ethereum, Blockchain, Land Registration, Distributed Ledger, Smart Contracts, Trigger Model

Abstract

Historically, registering property has been a time-consuming and error-prone process. It necessitates the use of many middlemen, which adds more steps, costs more money, and takes longer. We suggest a novel solution that uses Ethereum's blockchain technology to speed up and simplify the land registration process in light of these drawbacks. The goal of this system is to streamline the property transfer process for all parties involved (buyers, sellers, and government agencies). All transactions pertaining to the transfer of land ownership are recorded on the Ethereum blockchain, which serves as the backbone of our system. As a core component of blockchain technology, smart contracts are included. These smart contracts offer authorised inspectors access to property data and support events like the transfer of payments from the buyer to the seller following the successful completion of a land ownership transfer. This use of blockchain technology is an attempt to address issues experienced by all parties during the transfer of real estate. It greatly simplifies the process by removing the need for middlemen like property brokers. By recording all land transactions in an immutable public database, the Ethereum blockchain makes land registration validation a realistic possibility. This new method of land registration is not only more efficient, but also more trustworthy because of the increased transparency and security it provides.

Downloads

Download data is not yet available.

References

Christo, Mary Subaja and Sarathy, Partha and Priyanka, C and Kumari, Raj and others. (2019) “An Efficient Data Security in Medical Report using Block Chain Technology.” 2019 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2017. 0606–0610.

S. Manikandan, P. Dhana Lakshmi and V. Vaitheeshwaran, "Blockchain Technology: Overview, Blockchain Codes, Working Principles, Pros and Cons on Current Payment Methods", Journal of Advances and Scholarly Researches in Allied Education Vol. 17, Issue No. 2, pp.123-126, October-2020, ISSN 2230-7540

Sajana P, M. Sindhu, and M Sethumadhavan. (2018) “On Blockchain Application: Hyperledger Fabric and Ethereum.” International Journal of Pure and Applied Mathematics 118 (18): 2965–2970.

Turkanovic, Muhamed, Marko Holbl, Kristjan Kosiˇc, Marjan Heriˇcko, and Aida Kamiˇsalic. (2019) “EduCTX: A blockchain-based higher education credit platform.” IEEE access 6. 5112–5127

Bal M 2017 Securing property rights in India through distributed ledger technology, Observer Research Foundation, New Delhi.

Anand A, McKibbin M, Pichel F 2016 Colored coins: Bitcoin, blockchain, and land administration, In Annual World Bank Conference on Land and Poverty, Washington..

Mougayar W 2015 A decision tree for blockchain applications: Problems, opportunities or capabilities? Startup Management, Toronto.

S Manikandan, K Raju, R Lavanya, R.G Gokila, "Web Enabled Data Warehouse Answer With Application", Applied Science Reports, Progressive Science Publications, E-ISSN: 2310-9440 / P-ISSN: 2311-0139, DOI: 10.15192/PSCP.ASR.2018.21.3.8487, Volume 21, Issue 3, pp. 84-87, 2018

Nakamoto, Satoshi and others. (2008) “Bitcoin: A peer-to-peer electronic cash system.” Citeseer

Sankar, Lakshmi Siva, M. Sindhu, and M. Sethumadhavan. (2017) “Survey of consensus protocols on blockchain applications.” 4th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2017

B. Venugopal and Greeshma Sarath, “A Novel Approach for Preserving Numerical Ordering in Encrypted Data”, in 2016 International Conference on Information Technology (ICIT), Bhubaneswar, India, 2016.

Buterin V 2014 Ethereum White Paper 3(37) 1-36.

Nakamoto S 2008 A peer-to-peer electronic cash system. Bitcoin

Kakulapati, V., & Jayanthiladevi, A. . (2023). Self-aware COVID-19 AI Approach (SIntL-CoV19) by Integrating Infected Scans with Internal Behavioral Analysis. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 87–93. https://doi.org/10.17762/ijritcc.v11i3.6205

Wang Wei, Natural Language Processing Techniques for Sentiment Analysis in Social Media , Machine Learning Applications Conference Proceedings, Vol 1 2021.

Downloads

Published

16.07.2023

How to Cite

Subedha, V. ., Vivek, B. ., Venkata Sai, C. N. ., Vadana, A. S. ., & Dhanwanth, B. . (2023). A Novel Strategy for Streamlining Land Registration using Ethereum Blockchain. International Journal of Intelligent Systems and Applications in Engineering, 11(3), 104–111. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3147

Issue

Vol. 11 No. 3 (2023)

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.

IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.