基于隐性社交关系的社交物联网信任评估模型

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

Abstract

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.

Key words: implicit social relationship, multiple social relationships, social internet of things, trust assessment

CLC Number:

TN915

Hongbin ZHANG, Fan FAN, Dongmei ZHAO, Bin LIU, Yan YIN, Jian LIU. 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.

Figures/Tables 14

References 22

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社交关系类型	描述	初始值
所有权对象关系（OOR）	在属于同一用户的异构对象之间建立	0.90
父对象关系（POR）	在属于同一生产批次的对象之间建立	0.80
协同位置对象关系（C-LOR）	在同一位置使用的对象（同质或异质）之间建立	0.70
协同工作对象关系（C-WOR）	在提供一个共同的物联网应用程序的对象之间建立	0.60

符号	说明	符号	说明
	显性社交关系矩阵		隐性社交关系信任矩阵
	隐性社交关系矩阵		显性多关系信任矩阵
	正则化矩阵		隐性多关系信任矩阵
i	节点i		X 属性下i对j的间接信任
j	节点 j		X 属性下i对j的直接信任
	多关系信任矩阵		X 属性下i对j的综合信任
	显性社交关系信任矩阵		多关系矩阵

指标	模型均值				模型标准差				模型残差
指标	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文
（1,10）	0.696	0.711	0.8	0.779	0.051	0.067	0.057	0.048	0.304	0.289	0.2	0.221
（11,20）	0.745	0.781	0.854	0.869	0.005	0.005	0.001	0.004	0.255	0.219	0.146	0.131
（21,30）	0.755	0.793	0.854	0.881	0	0	0.001	0.002	0.245	0.207	0.146	0.119
（31,40）	0.755	0.793	0.851	0.885	0	0	0.002	0.002	0.245	0.207	0.148	0.115
（41,50）	0.755	0.793	0.848	0.891	0	0	0	0	0.245	0.207	0.152	0.109
（51,60）	0.767	0.805	0.853	0.916	0.012	0.013	0.005	0.026	0.233	0.195	0.146	0.084
（61,70）	0.782	0.823	0.861	0.954	0	0	0.001	0.002	0.218	0.177	0.139	0.046
（71,80）	0.783	0.826	0.864	0.956	0.002	0.002	0.002	0	0.217	0.174	0.137	0.044
（81,90）	0.785	0.829	0.868	0.957	0	0	0	0	0.215	0.171	0.131	0.043
（91,100）	0.791	0.832	0.873	0.958	0.004	0.007	0.001	0.001	0.209	0.168	0.127	0.042

指标	模型均值				模型标准差				模型残差
指标	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文
（1,10）	0.301	0.378	0.625	0.494	0.037	0.036	0.025	0.112	0.699	0.622	0.375	0.506
（11,20）	0.375	0.391	0.692	0.768	0.014	0.014	0.007	0.029	0.625	0.609	0.308	0.232
（21,30）	0.393	0.419	0.701	0.854	0.001	0.001	0.002	0.009	0.607	0.581	0.299	0.146
（31,40）	0.389	0.414	0.696	0.863	0.004	0.003	0.003	0.005	0.611	0.586	0.303	0.137
（41,50）	0.387	0.393	0.679	0.88	0.003	0.003	0.002	0.002	0.613	0.607	0.321	0.12
（51,60）	0.391	0.393	0.675	0.887	0.002	0.004	0.003	0.009	0.609	0.607	0.325	0.113
（61,70）	0.406	0.408	0.613	0.913	0.006	0.006	0.04	0.007	0.594	0.592	0.387	0.187
（71,80）	0.425	0.426	0.603	0.946	0.008	0.007	0.024	0.008	0.575	0.574	0.396	0.054
（81,90）	0.446	0.448	0.654	0.961	0.004	0.004	0.003	0.001	0.554	0.552	0.346	0.039
-91,100	0.541	0.456	0.656	0.963	0	0.001	0.002	0.002	0.459	0.544	0.344	0.037

指标	模型均值				模型标准差				模型残差
指标	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文
（1,10）	0.677	0.672	0.574	0.534	0.037	0.037	0.025	0.022	0.677	0.672	0.574	0.534
（11,20）	0.678	0.634	0.53	0.501	0.009	0.025	0.023	0.02	0.678	0.634	0.53	0.501
（21,30）	0.644	0.544	0.449	0.437	0.012	0.026	0.021	0.018	0.644	0.544	0.449	0.437
（31,40）	0.601	0.45	0.377	0.37	0.014	0.03	0.023	0.018	0.601	0.45	0.377	0.37
（41,50）	0.563	0.346	0.31	0.307	0.012	0.028	0.018	0.017	0.563	0.346	0.31	0.307
（51,60）	0.478	0.265	0.251	0.257	0.029	0.021	0.012	0.014	0.478	0.265	0.251	0.257
（61,70）	0.385	0.222	0.212	0.196	0.024	0.007	0.008	0.021	0.385	0.222	0.212	0.196
（71,80）	0.288	0.186	0.177	0.128	0.034	0.023	0.017	0.0217	0.288	0.186	0.177	0.128
（81,90）	0.2	0.108	0.122	0.063	0.012	0.012	0.008	0.01	0.2	0.108	0.122	0.063
-91,100	0.151	0.094	0.113	0.054	0.007	0.001	0.001	0.003	0.151	0.094	0.113	0.054

Trust evaluation model of social internet of things based on implicit social relationship

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Figures/Tables 14

References 22

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模型	场景	节点状态	准确性	收敛速度
		良好	低	慢
	非稀疏	恶意	低	慢
文献[11]		动态变化	低	慢
		良好	低	慢
	稀疏	恶意	低	较慢
		动态变化	低	慢
		良好	较低	较慢
	非稀疏	恶意	较高	较慢
文献[12]		动态变化	较低	较慢
		良好	较低	较慢
	稀疏	恶意	较高	慢
		动态变化	较低	较慢
		良好	较高	快
	非稀疏	恶意	较低	较快
文献[13]		动态变化	较高	较快
		良好	较高	快
	稀疏	恶意	高	较快
		动态变化	较高	较快
		良好	高	较快
	非稀疏	恶意	高	快
本文模型		动态变化	高	快
		良好	高	较快
	稀疏	恶意	高	快
		动态变化	高	快

指标	模型均值				模型标准差				模型残差
指标	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文	文献[11]	文献[12]	文献[13]	本文
（1,10）	0.264	0.372	0.625	0.488	0.04	0.036	0.025	0.08	0.736	0.628	0.375	0.512
（11,20）	0.348	0.392	0.692	0.739	0.022	0.015	0.007	0.04	0.652	0.608	0.307	0.261
（21,30）	0.373	0.419	0.701	0.835	0.001	0.002	0.003	0.013	0.627	0.581	0.299	0.165
（31,40）	0.369	0.413	0.697	0.86	0.003	0.003	0.003	0.005	0.631	0.587	0.303	0.14
（41,50）	0.37	0.392	0.679	0.879	0	0.003	0.002	0.001	0.63	0.608	0.32	0.121
（51,60）	0.318	0.354	0.331	0.258	0.015	0.016	0.053	0.213	0.318	0.354	0.331	0.258
（61,70）	0.277	0.29	0.249	0.116	0.011	0.02	0.019	0.009	0.277	0.29	0.248	0.116
（71,80）	0.227	0.206	0.165	0.088	0.011	0.026	0.025	0.011	0.227	0.206	0.164	0.088
（81,90）	0.187	0.114	0.075	0.05	0.01	0.028	0.028	0.011	0.187	0.114	0.074	0.05
-91,100	0.172	0.05	0.023	0.023	0.001	0.001	0.003	0.002	0.172	0.05	0.023	0.023