基于感知源信任评价的物联网数据可靠保障模型

发布时间：2018-03-30 03:41

本文选题：物联网　切入点：大数据　出处：《中国科学技术大学学报》2017年04期

【摘要】：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.
[Abstract]:In order to solve the reliability problem of big data's source, this paper presents a model to guarantee the reliability of Internet of things data based on the trust evaluation of perceptual sources. Firstly, the perceptual layer evaluation unit is constructed, and each evaluation unit includes working nodes. The working nodes of the same index can be used as the basis for the calculation of the trust value of the other side, and the associated nodes and the decision nodes are used to monitor the status of the working nodes, the three categories of the associated nodes and the decision nodes are used to monitor the status of the working nodes. The associated node is used to verify the data of the working node periodically to determine the status of the working node, and the decision node is used when the working node is suspected to be abnormal and can not be determined. Through the data collection and verification of the above three kinds of nodes, a method for calculating and adjusting the reliability of the nodes is presented. In order to get the trust value of each working node. Then, under the given threshold, we build a trust list and remove the untrusted perceptual nodes. Only the data perceived by trusted nodes are transmitted and processed. In order to ensure the initial reliability of the perceived nodes, an access authentication mechanism is introduced. The theoretical analysis and simulation results show that the model has reliable perceptual data. Flexible and extensible features, can effectively improve the source of the Internet of things big data reliability.
【作者单位】：东北大学计算机科学与工程学院;华北科技学院计算机学院;清华大学计算机系;
【基金】：国家自然科学基金(61472137) 青海省农业科技成果转化与推广计划(2012-N-525) 河北省科技计划(15210703) 国家安全监管总局安全生产重大事故防治关键技术科技项目(zhishu-031-2013AQ) 中央高校基本科研业务费资助项目(3142014125,3142015022,3142013098)资助
【分类号】：TN929.5;TP391.44

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