物联网搜索中主客观融合的动态信誉评估

张会兵; 李超; 胡晓丽; 周娅

doi:10.11959/j.issn.1000-436x.2015319

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物联网搜索中主客观融合的动态信誉评估

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- 物联网搜索中主客观融合的动态信誉评估
- Fusing subjective and objective factors:a dynamic approach to evaluating reputation for IoT search
- 通信学报 2015年36卷第12期页码：106-113
- 作者机构：
  
  1. 桂林电子科技大学广西可信软件重点实验室，广西桂林 541004
  2. 中国科学院信息工程研究所，北京 100093
- 作者简介：
  
  [ "张会兵（1976-），男，河南南阳人，博士，桂林电子科技大学讲师，主要研究方向为物联网、信任评估。" ]
  [ "李超（1981-），男，重庆人，博士，中国科学院信息工程研究所助理研究员，主要研究方向为物联网搜索技术、信息流安全、无线传感网络安全。" ]
  [ "胡晓丽（1978-），女，江苏宿迁人，桂林电子科技大学讲师，主要研究方向为物联网安全。" ]
  [ "周娅（1966-），女，湖北荆州人，桂林电子科技大学教授，主要研究方向为大数据。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61562015);国家自然科学基金资助项目(61363005);广西省自然科学基金资助项目(2014GXNSFDA118036);广西省自然科学基金资助项目(2013GXNSFAA019324);广西高校科研重点基金资助项目(ZD2014049)
- DOI：10.11959/j.issn.1000-436x.2015319
  中图分类号： TP309.2
- 网络出版日期：2015-12，
  
  纸质出版日期：2015-12-25
- 稿件说明：
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张会兵, 李超, 胡晓丽, 等. 物联网搜索中主客观融合的动态信誉评估[J]. 通信学报, 2015,36(12):106-113.

Hui-bing ZHANG, Chao LI, Xiao-li HU, et al. Fusing subjective and objective factors:a dynamic approach to evaluating reputation for IoT search[J]. Journal on communications, 2015, 36(12): 106-113.
张会兵, 李超, 胡晓丽, 等. 物联网搜索中主客观融合的动态信誉评估[J]. 通信学报, 2015,36(12):106-113. DOI： 10.11959/j.issn.1000-436x.2015319.

Hui-bing ZHANG, Chao LI, Xiao-li HU, et al. Fusing subjective and objective factors:a dynamic approach to evaluating reputation for IoT search[J]. Journal on communications, 2015, 36(12): 106-113. DOI： 10.11959/j.issn.1000-436x.2015319.

摘要

与传统的互联网搜索相比，物联网搜索更加强调数据质量。为了提高数据质量，物联网搜索中心需要依数据质量为提供者支付相应报酬以激励其持续提供符合质量需求的数据。这就使如何评估数据提供者的数据质量及其信誉成为物联网搜索中的一个基础问题。为此，引入动态信誉机制来综合评估数据提供者的可信性，为数据选择、收集提供依据。首先，提出了主观意愿及客观质量评价计算方法，并设计了交互行为贴现及信誉衰减机制；然后，提出了融合主客观要素的动态信誉计算模型，并基于信号传递机制进行博弈分析，以获取交互次数、贴现率、支付价格及数据成本之间约束关系。实验证明该模型能够较好地反映数据质量变化情况，为数据选择提供依据，并满足物联网搜索的实时性及动态性需求。

Abstract

Compared with the traditional Internet search

IoT search data center needs a higher data quality.In order to effectively motivate data owners to continuously provide higher quality data

the center needs pay the corresponding rewards to them according to the quality of data (QoD).As a result

QoD and the trustworthy evaluation become a basic problem for the development of IoT search.To address this problem and support data selection of IoT center

a dynamic reputation model was proposed to comprehensively assess the reputation of data owners.In detail

first

an approach to assessing the subjective and objective quality was proposed and mechanism of interactive discount and reputation attenuation was designed.Then

fusing subjective and objective factors

a novel dynamic reputation evaluation scheme was presented.Last

in order to get constraint relation of interaction times

discount

payment price

and data cost

an economic analysis based on signaling game was conducted.Experiment results show that the proposed approach can reflect dynamic change of QoD effectively

and provide the basis for data selection.It also can be adapted to real-time and dynamic of IoT search.

关键词

Keywords

references

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