Personal Credit Data Sharing Scheme Based on Blockchain and Access Control


연구 분야: Cryptography



학회: Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data


초록

Personal credit plays a vital role in the modern economy and society. However, the traditional centralized credit model suffers from numerous issues, including privacy breaches, data misuse, and unclear data ownership. Moreover, this model lacks an efficient sharing mechanism, resulting in data dispersion and low utilization rates. To solve these problems, this paper proposes a personal credit data security sharing scheme based on multi-chain collaboration. In this scheme, credit data is stored in IPFS, and data summaries and information are uploaded to the master chain to ensure data integrity and consistency. Additionally, access control and key management operations are transferred from the master chain to reduce pressure and enable capacity expansion. Furthermore, to safeguard the security and privacy of data sharing, the paper designs a more efficient access control model called PT-ABAC, based on attribute-based access control (ABAC) and capability-based access control (CapBAC). The verification of static attributes is replaced by granting user permission token, and the zero-knowledge proof algorithm is used to protect the privacy of user attributes. The model realizes the fine-grained access control of data, and effectively improves the efficiency of data access. The analysis shows that the credit data sharing scheme in this paper is characterized by distributed, tamper-proof, traceable, secure and transparent data sharing, and fine-grained access control, which ensures the authenticity and immutability of the credit data, implements strict access control in credit data sharing, and clarifies the ownership and control of the credit data.


Author Profile
Jie Feng

School of Information Liaoning University Shenyang 110036 China

China
Author Profile
Xiaoguang Li

School of Information Liaoning University Shenyang 110036 China

China
Author Profile
Xiaoli Li

School of Information Liaoning University Shenyang 110036 China

China

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 China
사이트 Springer
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