International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Trusted and Transparent Blockchain-based Land Registration System

  • Fatmah Bayounis (College of Computing, Umm Al-Qura University (UQU) Makkah) ;
  • Sana Dehlavi (College of Computing, Umm Al-Qura University (UQU) Makkah) ;
  • Asmaa Azimudin (College of Computing, Umm Al-Qura University (UQU) Makkah) ;
  • Taif Alghamdi (College of Computing, Umm Al-Qura University (UQU) Makkah) ;
  • Aymen Akremi (College of Computing, Umm Al-Qura University (UQU) Makkah)
  • Received : 2023.10.05
  • Published : 2023.10.30
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Abstract

Fraudulence, cheating, and deception can occur in the commercial real estate (CRE) industry, besides the difficulty in searching for and transferring properties while ensuring the operation is processed through an authoritative source in a trusted manner. Nowadays, real estate transactions use neutral third parties to sell land. Indeed, properties can be sold by the owners or third parties multiple times or without a proper deed. Moreover, third parties request a large amount of money to mediate between the seller and buyer. Methods: We propose a new framework that uses a private blockchain network and predefined BPMN instances to enable the fast and easy recording of deeds and their proprietary transfer management controlled by the government. The blockchain allows for multiple verifications of transactions by permitted parties called peers. It promotes transparency, privacy, trust, and commercial competition. Results: We demonstrated the easy adoption of blockchain for land registration and transfer. The paper presents a prototype of the implemented product that follows the proposed framework. Conclusion: The use of Blockchain-based solutions to resolve the current land registration and transfer issues is promising and will contribute to smart cities and digital governance.

Keywords

Acknowledgement

The authors would like to thank the Deanship of Scientific Research at Umm Al-Qura University for supporting this work by Grant Code: 23UQU4361220DSR001.

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