一种基于模糊逻辑的物联网访问控制框架研究

访问控制协议是网络中资源安全访问与共享的重要研究内容。为了提高物联网中访问控制协议的可扩展性和能源利用率,提出了一种基于模糊逻辑的访问控制协议。首先通过模糊的信任值对设备间的访问控制权限进行定义。其次,基于经验、知识和推荐的语言模型及其成员函数定义进行信任值的计算。最后提出了一种物联网访问控制框架。最后通过模拟实验表明,随着网络节点个数的增加,平均能量消耗逐渐增大,提出的方法在相同的网络环境下其平均能量消耗小于经典的访问控制方法,而且提出的方法在节点规模增大的情况下,平均能量消耗的增加率逐渐减小,这些表明了提出的方法与传统的访问控制协议相比,可扩展性好,能量利用率高,因而更适用于物联网环境下的访问控制。

Fuzzy Logic based Access Control Protocol for Internet of Things

Access control protocol is one of the most important research issues in secure resource access and sharing in Internet of Things. In order to improve the scalability and power usage of access control protocol, this paper proposes a fuzzy logic based access control protocol. Firstly, defined access control ability between devices by fuzzy trust score. Secondly, computed the trust score based on linguistic model containing experience, knowledge and recommendation and related membership functions. Finally, With theSincreasingSnumberSof network nodes,Sthe average energy consumptionincreases gradually,Sthe proposed methodSin the same network environmentStheaverage energy consumptionSis less thanSthe classicalSmethod of access control,Sand theSproposed methodSnodes inSthe case of larger scale,Sthe average energy consumptionSrateSdecreases,proposed an access control framework for Internet of Things. Simulation experiments show that, compared with the classic access control protocol, the proposed approach has better scalability and higher power usage, and thus is better suitable for access control in environment of Internet of Things.