In recent years the database access is gradually increasing pressure,expandability of current access control methods,low efficiency,low concurrency performance.For this,a new method of real-time massive database independent access control was put forward,through the bell-pull palmer lost model of large-scale database relationship analysis,it divided into can complete the operation of the passive elements active elements and store information.Large-scale database relational model based on the element level classification of the logo will be classified into four levels:top secret,confidential,secret,public,according to the classification of the definition of database model.In large-scale database relational model were introduced the classification of the interval,the user and the role and scope of the data.Based on the characteristics in the practical application,real-time massive database independent access control for certain information or some "fields" divide the categories of data to the attribute level.Given database access rules,read,update,rules are analyzed in detail,and insert the rules.The experimental results show that the proposed method query efficiency,read and update efficiency and insertion efficiency are high,access to optimal performance.%近年来数据库存取压力逐渐增大,当前存取控制方法扩展性差、效率低、并发性能低.为此,提出一种新的大规模数据库实时自主存取控制方法.通过贝尔-拉帕丢拉模型对大规模数据库关系分析,将其划分成能够完成操作的主动元素和储存信息的被动元素.大规模数据库关系模型依据元素级的密级标识将密级划分成4个等级:绝密、机密、秘密、公开,依据密级实现对数据库模型的定义.介绍了大规模数据库关系模型中的密级区间、用户与角色及数据范围.依据实际应用中的特点,针对某类信息或某些“字段”将数据的密级划分至属性级,实现大规模数据库实时自主存取控制.给出数据库存取规则,详细分析了读规则、更新规则和插入规则.实验结果表明,所提方法查询效率、读取和更新效率及插入效率均较高,存取性能优.
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