Blockchain-based data protection scheme and cybersecurity framework for housing finance trading platforms

Authors

  • Fang Yang School of Computer Engineering, Shanxi Vocational University of Engineering Science and Technology, Jinzhong, Shanxi, 030619, China

DOI:

https://doi.org/10.70917/ijcisim-2026-0391

Keywords:

blockchain, housing finance, smart contract, shared energy storage, PBFT, data protection

Abstract

Currently housing finance transaction platforms face challenges of data protection and cybersecurity. Blockchain technology, with its decentralization, non-tampering and high transparency, has become an effective tool for securing transaction data. In this paper, a blockchain-based data protection scheme for housing finance transaction platform is designed, which combines the shared energy storage system and realizes the cyber security protection of the transaction platform by optimizing the PBFT consensus mechanism. Methodologically, distributed file storage technology (IPFS) and smart contracts are adopted to ensure data encryption, storage and transaction transparency. Experimental results show that the proposed scheme excels in smart contract execution time, with a maximum execution time of 0.8ms, and achieves a significant increase in TPS when the concurrent volume of transactions reaches 1,200, and the throughput of the dual-chain architecture is increased by 28% compared to the traditional single-chain architecture. In addition, the system with ITPBFT consensus mechanism reduces the communication overhead by 46.19% compared to the traditional PBFT, and the consensus delay is also significantly reduced, with an efficiency improvement of 53.61%. The study shows that the proposed optimization scheme can enhance the efficiency and reliability of data transactions while improving the security of the system.

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Published

2026-01-20

How to Cite

Fang Yang. (2026). Blockchain-based data protection scheme and cybersecurity framework for housing finance trading platforms. International Journal of Computer Information Systems and Industrial Management Applications, 18, 18. https://doi.org/10.70917/ijcisim-2026-0391

Issue

Section

Original Articles