基于演化博弈的隐私风险自适应访问控制模型

Privacy risk adaptive access control model via evolutionary game

针对以数据为中心的开放信息系统,亟需能够保护隐私的细粒度自适应访问控制,并平衡隐私保护与数据访问效用间平衡的问题,提出了一种面向隐私保护的多参与者理性风险自适应访问控制模型。该模型基于香农自信息提出了动态访问数据集的隐私量化方法,构造了访问请求隐私风险函数和用户隐私风险函数;进一步基于演化博弈在有限理性假设下构建多参与者的访问控制演化博弈模型,利用复制动态方程分析了访问控制参与者的动态策略选择,提出了该博弈模型的演化稳定策略选取方法。仿真和对比表明,所提出的模型能够有效动态自适应地保护隐私,具有更好的隐私风险适应性,有限理性参与者的动态演化访问策略选取更加符合实际场景。

Aiming at the problem that in the private sensitive date centralized and opening information systems,a fi-ne-grained and self-adaptive access control model for privacy preserving is desperately needed,thus the balance between privacy preserving and data access utility should be achieved,a rational multi-player risk-adaptive based access control model for privacy preserving was proposed.Firstly,the privacy risk values of access request and requester were formu-lized by the private information quantity of the requested dataset,and by using Shannon information.Secondly,a risk-adaptive based access control evolutionary game model was constructed by using evolutionary game under the sup-posing of bounded rational players.Furthermore,dynamic strategies of participants were analyzed by using replicator dynamics equation,and the method of choosing evolutionary stable strategy was proposed.Simulation and comparison results show that,the proposed model is effective to dynamically and adaptively preserve privacy and more risk adaptive,and dynamic evolutionary access strategies of the bounded rational participants are more suitable for practical scenarios.