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author:

Liu, Jingyuan (Liu, Jingyuan.) [1] | Ren, Wei (Ren, Wei.) [2] | Liu, Ningbo (Liu, Ningbo.) [3] | Zheng, Xianghan (Zheng, Xianghan.) [4]

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Abstract:

Traditional property rights registration and handover systems, exemplified by real estate transactions, suffer from inefficiencies, lack of transparency, and vulnerabilitu to fraud and data breaches. This paper introduces a novel 'Blockchain-enhanced Hybrid Scheme for Right Registration and Handover' that aims to address these challenges while preserving the value of existing infrastructure investments. The scheme integrates blockchain technology with traditional systems, leveraging its strengths of immutability, traceability, and decentralized trust. At the core of our approach are Hashed TimeLock Contracts (HTLCs) and a Reputation Evaluation Mechanism. HTLCs ensure atomicity and fairness in transactions, enabling secure and automated handovers of rights while mitigating the risk of fraud. The Reputation Evaluation Mechanism fosters trust among participants by quantifying their transactional history and conduct, promoting a reliable and transparent marketplace. Our experimental analysis demonstrates the feasibility and efficiency of the proposed scheme. The results show that the system performs well under different user loads and provides a secure and transparent environment for rights registration and handover. While our scheme offers a promising solution, further research is needed to explore potential challenges and improvements. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keyword:

Blockchain Crime Investments Smart contract Transparency

Community:

  • [ 1 ] [Liu, Jingyuan]School of Computer Science, China University of Geosciences, Wuhan, China
  • [ 2 ] [Liu, Jingyuan]Key Laboratory of Data Intelligence and Advanced Computing in Provincial Universities, Soochow University, Soochow, China
  • [ 3 ] [Ren, Wei]School of Computer Science, China University of Geosciences, Wuhan, China
  • [ 4 ] [Ren, Wei]Key Laboratory of Data Protection and Intelligent Management (Sichuan University), Ministry of Education, Chengdu, China
  • [ 5 ] [Liu, Ningbo]School of Computer Science, China University of Geosciences, Wuhan, China
  • [ 6 ] [Zheng, Xianghan]College of Computer and Big Data, Fuzhou University, Fujian, Fuzhou, China
  • [ 7 ] [Zheng, Xianghan]School of Information and Intelligent Engineering, Sanya College, Sanya, China

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ISSN: 0302-9743

Year: 2025

Volume: 15686 LNCS

Page: 295-306

Language: English

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