基于信任度的公安合成作战平台动态访问控制策略

DYNAMIC ACCESS CONTROL OF POLICE SYNTHETIC TACTICAL PLATFORM BASED ON TRUST RANK

针对现行公安合成作战平台因PKI/PMI框架和RBAC模型的静态、粗粒度访问控制策略所存在的业务数据访问不便问题,结合民警自身属性、业务成效等多维度信息实施用户信任度评估,提出一套基于信任度的公安合成作战平台动态访问控制策略,利用用户/平台交互实例对所提访问控制策略进行对比分析。测试结果表明,该策略在保证系统安全的前提下,能更好地实现对不同用户角色的动态、细粒度授权,更好地满足民警对所需公安信息资源的共享利用。

Because of the static and coarse-grained access control strategy of PKI/PMI framework and RBAC model,the current police synthetic tactical platform has inconvenience in accessing business data.To solve this problem,this paper carried out the evaluation of user trust,combining with the multi-dimensional information such as police s own attributes and police business outcomes,and put forward a dynamic access control strategy of police synthetic tactical platform based on trust rank.A user/platform interaction example was used to compare and analyze the proposed access control strategy.The actual test shows that on the premise of ensuring system security,the proposed strategy can better realize dynamic and fine-grained authorization for different users,and can better meet the needs of police for sharing and utilizing public security information resources.