Dynamic trust model based on recommendation chain classification in complex network environment

Lin ZHANG; Huan XING; Ru-chuan WANG; Chao-jie WU

doi:10.11959/j.issn.1000-436x.2015137

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Dynamic trust model based on recommendation chain classification in complex network environment

academic paper | 更新时间：2024-06-05

- Dynamic trust model based on recommendation chain classification in complex network environment
- Journal on Communications Vol. 36, Issue 9, Pages: 55-64(2015)
- 作者机构：
  
  1. 南京邮电大学计算机学院，江苏南京 210003
  2. 南京邮电大学计算机技术研究所，江苏南京 210003
  3. 江苏省无线传感网高技术研究重点实验室，江苏南京 210003
  4. 南京邮电大学宽带无线通信与传感网技术教育部重点实验室，江苏南京 210003
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61402241);The National Natural Science Foundation of China(61170065);The National Natural Science Foundation of China(61373017);The National Natural Science Foundation of China(61171053);The National Natural Science Foundation of China(61103195);The National Natural Science Foundation of China(61203217);The National Natural Science Foundation of China(61201163);The National Natural Science Foundation of China(61202004);The National Natural Science Foundation of China(61202354);The Natural Science Foundation of Jiangsu Province(BK2012436);Scientific ＆ Technological Support Project (Industry) of Jiangsu Province(BE2012183);Scientific ＆ Technological Support Project (In-dustry) of Jiangsu Province(BE2012755);The Natural Science Key Fund for Colleges and Uni-versities of Jiangsu Province(11KJA520001);The Natural Science Key Fund for Colleges and Universities of Jiangsu Province(12KJA520002);The Natural Science Fund for Colleges and Universities of Jiangsu Province(13KJB520017);The Science Foundation of Nanjing University of Posts and Telecommunications(NY213155);Scientific Research＆ Industry Promotion Project for Higher Education Institutions(JHB2012-7);The Priority Academic Program Development of Jiangsu Higher Education Institutions(yx002001)
- DOI：10.11959/j.issn.1000-436x.2015137
  CLC： TP393
- Online First：2015-09，
  
  Published：25 September 2015
- 稿件说明：
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Lin ZHANG, Huan XING, Ru-chuan WANG, et al. Dynamic trust model based on recommendation chain classification in complex network environment[J]. Journal on Communications, 2015, 36(9): 55-64.
DOI：

Lin ZHANG, Huan XING, Ru-chuan WANG, et al. Dynamic trust model based on recommendation chain classification in complex network environment[J]. Journal on Communications, 2015, 36(9): 55-64. DOI： 10.11959/j.issn.1000-436x.2015137.

摘要

针对网络环境中复杂的推荐信息处理问题，提出了一种基于推荐链分类的信任模型。该分类方法基于节点间的诚实属性，在实际经验数据的基础之上能选择出有效的推荐链。针对推荐信息的传播使用了以信息增益为基础的参数，使推荐信息更精准，考虑了时间的影响并且能把交互能力与诚实属性清楚地区分开。在最终的直接信任与推荐信息的聚合计算过程中采用了信息论中熵的概念，摆脱了以往主观设定参数的模糊性。模型中主要的聚合参数能随着交互的进行而不断地修正，达到了最贴近真实值的情形。仿真实验验证了新模型分类的有效性以及参数设置的合理性。

Abstract

According to the recommendation information processing problem in complex network environment

a trust model based on the recommendation chain classification was proposed.The classification method was based on honesty attribute of nodes

which could choose an effective recommendation chain on the basis of practical experience data.The recommendation information dissemination parameters were based on the information gain

which made recommendation information be more accurate.The factor of time was also considered in this model.The ability of interaction and the one of honesty were distinguished clearly.The concept of information entropy in information theory was used in the final ag-gregation calculation of direct trust and recommendation trust

which could get rid of the ambiguity of the previous sub-jective parameter settings.The main polymerization parameters could be continuously corrected with the interactions in order to achieve the situation being closest to the reality.Simulation results show the validity of recommendation chain classification and the rationality of the parameter settings in the proposed model.

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references

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