基于感知源信任评价的物联网数据可靠保障模型

Data reliable assurance model of Internet of Things based on the trust evaluation of perceived source

为了解决物联网大数据源头的可靠问题,给出一种基于感知源信任评价的物联网数据可靠保障的模型.模型首先构建感知层评测单元,每个评测单元均包括工作节点、伴生节点和判决节点三种类别.感知同种指标的工作节点之间可互相作为对方信任值计算的依据;伴生节点和判决节点均用于对工作节点的状态进行监测,伴生节点用于对工作节点的数据进行定期的验证,从而确定工作节点的状态;判决节点则是当工作节点出现疑似异常,无法最终确定时,被动启用以作为最终的判断结果.通过以上三种节点的数据收集和验证给出了一种用于节点可靠度计算、调整的方法,以此获得每个工作节点的信任值.然后在给定阈值的情况下,构建信任列表,剔除不可信的感知节点,只传输和处理可信节点所感知的数据.同时为了保证感知节点的初始可靠,引入接入认证机制.从理论分析和仿真的结果看,该模型具有节点感知数据可靠、灵活可扩展等特点,能够有效提高物联网大数据源头的可靠性.

In order to solve the source reliability problem of Big Data in the Internet of Things, a data reliable assurance model of Internet of Things based on the trust evaluation of perceived source was constructed with the evaluation unit, and each evaluation unit includes three categories, including the work node, the companion node and the decision node. The working nodes which are aware of the same kind of index can be used as the basis for calculating the value of each other＇s trust. The companion nodes and decision nodes are used to monitor the status of the working nodes. The companion nodes are used to verify the data of the working nodes regularly, so as to determine the status of the working nodes. The decision node is used when the working node is suspected to be abnormal so as to give the final result. Through the data collection and validation of the above three kinds of nodes, a method for calculating and adjusting the reliability of nodes was presented, which was used to obtain the trust value of each working node. Then, according to the given threshold value, the trust list was constructed, and the non-trusted nodes removed, and only the data perceived by the trusted node gets transmited and processed. At the same time, in order to ensure the initial reliability of the sensor node, the access authentication mechanism is introduced. From the results of theoretical analysis and simulation, the model has the characteristics of reliable node sensing data and flexible expansion, and can effectively improve the reliability of the data source of the Internet of Things.