基于Tangle区块链的大数据访问控制研究

Research on Big Data Access Control Based on Tangle Blockchain

为了提高大数据访问控制效果,提出基于Tangle区块链的大数据访问控制研究.依据数据的主体属性以及数据库环境的安全情况,计算数据的敏感度,并通过数据的初始可信值与历史可信值的叠加计算获取数据的最终可信值,结合数据库系统设计中的访问逻辑空间制定访问控制约束规则,基于此,引入Tangle区块链技术构建数据访问控制模型,进而实现对大数据的访问控制.实例应用结果表明,应用所提方法对大数据进行访问控制后,其访问控制拓扑率在26%以内,数据被成功篡改的区块概率在0.4%以下,进一步说明了所提方法的大数据访问控制效果良好.

Conventional big data access control often adopts attention mechanisms,which achieve data access control by weighting important areas of the data.However,this method lacks calculation of the final trusted value of the data,resulting in high access control topology and poor access control effectiveness.Therefore,a study on big data access control based on Tangle blockchain was proposed.Based on the subject attributes of the data and the security situation of the database environment,the sensitivity of the data was calculated,and the final trusted value of the data was obtained through the superposition of the initial trusted value and historical trusted value of the data.Access control constraint rules were formulated in conjunction with the access logic space in database system design.Based on this,Tangle blockchain technology was introduced to construct a data access control model,thereby achieving access control of big data.Results showed that after applying the proposed method to access control the big data,the access control topology rate was within 26%,and the block probability of successful data tampering was below 0.4%,which further showed that the big data access control effect of the proposed method was good.