一种面向用户的约束角色挖掘优化

User-Oriented Optimization for Role Mining with Constraints

现有自底向上的角色工程方法挖掘规模庞大,系统管理任务繁重,且挖掘结果未能反映系统功能的安全需求.为优化角色挖掘,从终端用户的角度出发,将角色挖掘问题转化为聚类问题,提出一种面向用户的约束角色挖掘优化.该方法利用用户聚类四元组及角色约束优化挖掘过程,以综合评价挖掘效果及系统的安全性,并在构造和真实数据集上进行测试与分析.实验结果表明,该方法能够减轻系统的管理负担,并能保证信息系统的安全性.

Results of role mining in large-scale organizations could not reflect requirements of system security in existing approaches to bottom-up role engineering,and system administration tasks were very arduous. In order to opti-mize role mining,an optimization method was proposed from the end-user perspective,which converted the role mining into clustering problem. User-oriented roles constraints and four-tuples of clustering were utilized to optimize the mining process and evaluate the mining effect comprehensively. It was tested on several datasets,both synthetic and real. Exper-imental results showed that,the method not only reduces the burden of administration, but also ensures system security.