R&D: Secured Storage Framework for Land Registration Using Blockchain Technology

IEEE Xplore has published, in 2021 3rd International Cyber Resilience Conference (CRC) proceedings, an article written by Salman Humdullah, Siti Hajar Othman, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bharu, Johor, Malaysia, Muhammad Najib Razali, and Hazinah Kutty Mammi, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bharu, Johor, Malaysia.

Abstract: “Land registration requires a complex of sensitive data that requires a decentralized environment. Current technology only concentrates on the less secure database storage and expose to any misconduct. This is due to the characteristics of the database, which still has some problems with unstructured data and non-relational databases. As the land registration methods require complexities and challenges in terms of land tenure security at a high-risk scale, the security level of the land registration system needs to be put at the highest level. Fraud is one the major problem which is currently a severe problem in the land registration methods. Also, the land registration process takes a long duration of time to complete. The land title indicates that the land is confirmed and already registered to an owner. The reason for ownership is to perceive property rights, which incorporates data relating to land region, area, limits, just as proprietorship and title of the ardent property. However, the land is registered, but still, there are lots of causes of fraud happened in which land registration data can be quickly deleted and or edited. Since land is an asset, and any fraud can cause a loss in a lot of money, it becomes very crucial that the registration of land becomes speedy, transparent, and with less hustle. In this research, we propose a framework for secure data storage of land registration using Blockchain. Blockchain offers the solution with its underlying technology. Blockchain is decentralized, transparent, and fast compared to the traditional centralized software approach. For the validation of the proposed framework, we performed a comparison between the proposed and existing methods.“