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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63159
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Master of Computer Applications
Anantrao Pawar College of Engineering and Research
Department of Master of Computer Applications
Anantrao Pawar College of Engineering and Research
Department of Master of Computer Applications
Anantrao Pawar College of Engineering and Research
In the digital era, traditional systems for titling land are facing several challenges, including centralized data silos, administrative delays, and the risk of fraudulent activity. In several urban areas within developing countries, the use of paper-based or centralized registries creates a single point of failure, resulting in opportunities for corruption and a lack of transparency. This research proposes a multi-layer computational framework that integrates decentralized ledger technology (DLT) with an intelligent pre-processing mechanism to increase trust and efficiency. The machine learning component is a LightGBM [7] based module and acts as a validation layer at the core of the system. Unlike traditional blockchain systems that store all incoming transactions, this model will filter and validate transactions before they are stored on the blockchain. This model will detect anomalies, such as inconsistent geolocation data or irregular patterns of KYC (know your customer) activity, ensuring only transaction data that has undergone a validation process will be recorded on the blockchain. Consequently, this approach to validation-first will enhance the quality of data being transmitted to the blockchain and minimize the risk that fraudulent data will be added to the blockchain. Additionally, smart contracts [10] will be implemented as a means of automatically executing transactions and the use of IPFS (InterPlanetary File System) [9] will facilitate scalable off-chain storage of legal documents. The hybrid design of the proposed system will enable the production of lightweight, efficient blockchains while providing a secure and tamper-proof method to access the records of land registrations (the records). Ultimately, by relying on the proposed system, land registration processes will experience less dependence on manual oversight and establish a transparent, secure, and reliable land registration ecosystem.
KEYWORDS
In this study, we show that a blockchain-based land registration solution that uses AI (LightGBM [7]) and geospatial references produces a much more resilient solution than a conventional digital registry [4]. Our move from a passive database to a proactive verification pipeline solves the problem of Garbage In/ Garbage Out [8]. Our integration of smart contracts [10] and IPFS (InterPlanetary File System) [9] will provide property transfers that are secure from tampering and capable of being processed at scale in densely populated urban environments like Pune [2]. A major milestone in this research is the introduction of Administrative Accountability. By requiring all planners to sign with cryptographic signatures, we have also eliminated the "Internal Tamper" loophole that permitted officials to modify records behind the scenes [5]. While legal validity and the digital divide remain challenges [1], this architecture shows that we can replace the requirement of Human Trust with Mathematical Truth [6]. A successful route toward a fraud-free real estate market will be a hybrid solution whereby the blockchain serves as a transparent audit log [3], prior to evolving to a fully automated system for the transfer of property.
The following publications discuss the use of blockchain technology to facilitate the registration of land: 1. Balaji, T., & Jayapandian, J. (2025). A Secure Land Registration System Using Blockchain. The International Journal of Research and Publication Reviews (IJRPR), 6(2). 2. Kamble, C., et al., (2025). Landex: A Land Registration System Based on Blockchain. The International Journal of Scientific Research and Engineering Development (IJSRED), 8(1). 3. Naguji, F., et al., (2024). GreenLand: A Secure Land Registration Scheme for the Agriculture Industry 5.0 by Utilising Blockchain and Artificial Intelligence. IEEE Access, 12, pp. 4500-4515. 4. Zein, R. M., & Twinomurinzi, H. (2023). The Use of Blockchain Technology for Land Registration: A Systematic Literature Review. Journal of e-Democracy and Open Government (JeDEM) 15(1), 1-25. 5. Vayadande, K., et al., (2022). A Blockchain Based Land Record System. Proceedings of the International Conference on Automation, Computing and Emerging Technologies (ICAECT), IEEE Xplore. 6. S. Nakamoto, "Bitcoin: A Peer-to-Peer Electronic Cash System," Cryptography Mailing List, 2008. 7. J. H. Friedman, "Greedy Function Approximation: A Gradient Boosting Machine," Annals of Statistics, vol. 29, no. 5, pp. 1189-1232, 2001. 8. R. Y. Wang and D. M. Strong, "Beyond Accuracy: What Data Quality Means to Data Consumers," J. Manage. Inf. Syst., vol. 12, no. 4, pp. 5-33, 1996. 9. J. Benet, "IPFS - Content Addressed, Versioned, P2P File System," arXiv preprint arXiv:1407.3561, 2014. 10. N. Szabo, "Formalizing and Securing Relationships on Public Networks," First Monday, vol. 2, no. 9, 1997.
Publication Date
5/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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