Trust evaluation model of social internet of things based on implicit social relationship
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 re...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2023-04-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023021 |
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| _version_ | 1841529718807986176 |
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| author | Hongbin ZHANG Fan FAN Dongmei ZHAO Bin LIU Yan YIN Jian LIU |
| author_facet | Hongbin ZHANG Fan FAN Dongmei ZHAO Bin LIU Yan YIN Jian LIU |
| author_sort | Hongbin ZHANG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8beb64fdb7f641a1b19571aedd8c293c |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2023-04-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-8beb64fdb7f641a1b19571aedd8c293c2025-01-15T03:16:19ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2023-04-019566959575934Trust evaluation model of social internet of things based on implicit social relationshipHongbin ZHANGFan FANDongmei ZHAOBin LIUYan YINJian LIUThe 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.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023021implicit social relationshipmultiple social relationshipssocial internet of thingstrust assessment |
| spellingShingle | 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 网络与信息安全学报 implicit social relationship multiple social relationships social internet of things trust assessment |
| title | Trust evaluation model of social internet of things based on implicit social relationship |
| title_full | Trust evaluation model of social internet of things based on implicit social relationship |
| title_fullStr | Trust evaluation model of social internet of things based on implicit social relationship |
| title_full_unstemmed | Trust evaluation model of social internet of things based on implicit social relationship |
| title_short | Trust evaluation model of social internet of things based on implicit social relationship |
| title_sort | trust evaluation model of social internet of things based on implicit social relationship |
| topic | implicit social relationship multiple social relationships social internet of things trust assessment |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2023021 |
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