基于隐性社交关系的社交物联网信任评估模型

张红斌; 樊凡; 赵冬梅; 刘滨; 尹彦; 刘建

doi:10.11959/j.issn.2096-109x.2023021

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基于隐性社交关系的社交物联网信任评估模型

学术论文 | 更新时间：2024-06-03

- 基于隐性社交关系的社交物联网信任评估模型
- Trust evaluation model of social internet of things based on implicit social relationship
- 网络与信息安全学报 2023年9卷第2期页码：56-69
- 作者机构：
  
  1. 河北科技大学信息科学与工程学院，河北石家庄 050018
  2. 河北师范大学河北省网络与信息安全重点实验室，河北石家庄 050024
  3. 河北科技大学经济管理学院，河北石家庄 050018
  4. 河北科技大学大数据与社会计算研究中心，河北石家庄 050018
- 作者简介：
  
  [ "张红斌（1976- ），男，河北赵县人，博士，河北科技大学教授，主要研究方向为网络安全与管理、社交物联网" ]
  [ "樊凡（1998- ），女，河北邢台人，河北科技大学硕士生，主要研究方向为社交物联网与信任" ]
  [ "赵冬梅（1966- ），女，河北深州人，博士，河北师范大学教授，主要研究方向为网络空间安全、人工智能及应用" ]
  [ "刘滨（1975- ），男，河北唐山人，博士，河北科技大学教授，主研方向为大数据、社会计算、人工智能" ]
  [ "尹彦（1997- ），女，山东德州人，河北科技大学硕士生，主要研究方向为网络安全与管理" ]
  [ "刘建（1992- ），男，河北邢台人，河北科技大学硕士生，主要研究方向为社交物联网与访问控制" ]
- 基金信息：
  
  国家自然科学基金;The National Natural Science Foundation of China(61672206);国家自然科学基金;The National Natural Science Foundation of China(61572170);中央引导地方科技发展资金;Central Guide Local Science and Technology Development Fund(216Z0701G);河北省科技支撑计划;S＆T Program of Hebei(18210109D);河北省科技支撑计划;S＆T Program of Hebei(20310701D);河北省科技支撑计划;S＆T Program of Hebei(20310802D);河北省科技支撑计划;S＆T Program of Hebei(21310101D);国家文化和旅游科技创新工程;The National Cultural and Tourism Science and Technology Innovation Project(2020)
- DOI：10.11959/j.issn.2096-109x.2023021
  中图分类号： TN915
- 网络首发：2023-04，
  
  纸质出版：2023-04-25
- 稿件说明：
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张红斌, 樊凡, 赵冬梅, 等. 基于隐性社交关系的社交物联网信任评估模型[J]. 网络与信息安全学报, 2023,9(2):56-69.

Hongbin ZHANG, Fan FAN, Dongmei ZHAO, et al. Trust evaluation model of social internet of things based on implicit social relationship[J]. Chinese Journal of Network and Information Security, 2023, 9(2): 56-69.
张红斌, 樊凡, 赵冬梅, 等. 基于隐性社交关系的社交物联网信任评估模型[J]. 网络与信息安全学报, 2023,9(2):56-69. DOI： 10.11959/j.issn.2096-109x.2023021.

Hongbin ZHANG, Fan FAN, Dongmei ZHAO, et al. Trust evaluation model of social internet of things based on implicit social relationship[J]. Chinese Journal of Network and Information Security, 2023, 9(2): 56-69. DOI： 10.11959/j.issn.2096-109x.2023021.

摘要

社交物联网是社交网络和物联网融合形成的新范式，增强了网络的扩展性和可导航性。然而，由于智能设备的开放性和移动性增强，智能对象的信息安全、可靠服务提供等方面的安全风险进一步扩大，安全问题面临严峻挑战。信任被视为提供安全、可靠服务的关键因素，因此，从社交关系角度出发，提出了一种新的信任评估模型。提出一种信任传递算法，根据节点间的显性社交关系和潜在特征，挖掘并建立节点间的隐性社交关系，达到解决社交物联网网络稀疏性、冷启动问题的目的。对社交关系进行细粒度划分，构建单关系子网，并将多个单关系子网融合构建多重关系复合网，从而有效融合节点间多种动态变化的社交关系对信任评估的影响。根据直接信任、间接推荐信任及服务满意度3个信任指标对智能对象进行综合信任评估。通过在真实智慧城市数据集上的实验结果表明，无论是在不稀疏网络场景还是稀疏网络场景中，该模型都具有较好的鲁棒性，能够有效地评估网络中的可信对象和不可信对象，并提高信任评估的准确性和收敛性。

Abstract

The social internet of things （SIoT） is a new paradigm that combines social networks and the internet of things to enhance network scalability and navigability.However

with increased openness and mobility of intelligent objects

there are rising security risks related to information security and reliable service delivery

which poses a significant challenge to the SIoT.Trust is a critical factor in providing secure and reliable services.Therefore

a new trust assessment model was proposed from the perspective of social relationships.A trust transfer algorithm was proposed based on the explicit social relationships and potential features between nodes.The algorithm can tap and establish the implicit social relationships among nodes to solve the SIoT sparsity and cold start problem.Additionally

the social relations were fine-grained and divided to build a single-relationship sub-network.Multiple single-relationship sub-networks were fused to build a multiple-relationship composite network.Thus

the impact of multiple dynamically changing social relationships among nodes on trust evaluation can be effectively fused.The comprehensive trust assessment of intelligent objects was conducted based on three indicators: direct trust

indirect recommendation trust

and service satisfaction.The experimental results on real smart city datasets demonstrate the model’s robustness in non-sparse and sparse network scenarios.It can effectively evaluate trusted and untrusted objects in the network and improve the accuracy and convergence of trust evaluation.

关键词

Keywords

references

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