Blockchain-based Multi-layer Data Security Sharing Model

Yishan Wei, Xiaomei Cao
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Abstract

Facing the era of big data, the traditional data sharing model has many problems such as low execution efficiency, opaque data sharing process, and inflexible processing, which can no longer meet the demand for secure data sharing. So we present a blockchain-based multi-layer data security sharing model (ML-DSM). The model not only combines blockchain and attribute-based access control technology, but also introduces malicious access behavior judgment and user rating mechanism. Judging malicious access behavior helps detect malicious users in time at the early stage of access control, and effectively prevents malicious attacks such as DoS. In the user rating mechanism, the smart contract evaluates the user's reputation level based on the user's current and historical reputation scores and judges whether the reputation level is higher than the level of the requested data. The rating mechanism not only dynamically adjusts the access rights of the requestor but also effectively reduces the average judgment time of access control. The final experimental analysis results show that the data sharing model in this paper can improve the execution efficiency of access control while ensuring the security of the shared data. Thus ML-DSM achieves more secure and efficient data sharing.
基于区块链的多层数据安全共享模型
面对大数据时代,传统的数据共享模式存在着执行效率低、数据共享过程不透明、处理不灵活等问题,已不能满足安全数据共享的需求。为此,我们提出了一种基于区块链的多层数据安全共享模型(ML-DSM)。该模型不仅结合了区块链和基于属性的访问控制技术,还引入了恶意访问行为判断和用户评级机制。通过对恶意访问行为的判断,可以在访问控制的早期及时发现恶意用户,有效防范DoS等恶意攻击。在用户评级机制中,智能合约根据用户当前和历史信誉评分来评估用户的信誉水平,并判断信誉水平是否高于请求数据的水平。该评级机制不仅可以动态调整请求者的访问权限,而且可以有效地缩短访问控制的平均判断时间。最后的实验分析结果表明,本文提出的数据共享模型能够在保证共享数据安全性的同时提高访问控制的执行效率。ML-DSM实现了更加安全高效的数据共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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