P2P网络基于蚁群优化的动态细粒度访问控制框架  

A Dynamic and Fine-Grained Access Control Framework Based on Ant Colony Optimization in P2P Networks

作　　者：李俊青[1] 谢圣献[1] 刘广亮[1] 陈晨[2] 

机构地区：[1]聊城大学计算机学院,山东聊城252059 [2]国家信息中心信息安全研究与服务中心,北京100045

出　　处：《微电子学与计算机》2008年第10期30-33,共4页Microelectronics & Computer

基　　金：国家“八六三”计划项目(2006AA01Z455);山东省自然科学基金项目(2004ZX17,2004ZX14);聊城大学青年基金项目(X061015)

摘　　要：RBAC是目前流行的访问控制模型,用户到角色的映射过程是其中非常重要的一个环节.分析了P2P网络访问控制的特点,提出了一种基于信任的访问控制框架-AT-RBAC.在该模型中,使用蚁群优化收集节点间直接信任和推荐信任值.另外,为适应映射过程的动态性,建立了信任条件列表,通过向该列表加入更加符合要求的条件可以使模型细粒度化.分析表明,本模型可以节省大量网络带宽.RBAC is a very popular access control model. The user-to-role mapping operation is the first and very important stage of RBAC model. A trust-based access control framework named AT-RBAC was propped. In this novel model, we use ant colony optimization to collect direct trust between the host peer and the client peer, and recommendation values made by other peers are also collected by this way. A trust conditions list （TCL） is created to adapt to the dynamic of the user-to-role mapping process. We can also add some more detailed conditions into TCL to make it more fine-grained. Through this automatic feed-back mechanism, lots of network throughout can be reduced.

关 键 词：蚁群优化 对等网络 细粒度 访问控制 信任 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]