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A Multi-attributes-based Trust Model of Internet of Vehicle

Ou, Wei; Luo, Entao; Tan, Zhiyuan; Xiang, Lihong; Yi, Qin; Tian, Chen


Wei Ou

Entao Luo

Lihong Xiang

Qin Yi

Chen Tian


Internet of Vehicle (IoV) is an open network and it changes in constant, where there are large number of entities. Effective way to keep security of data in IoV is to establish a trustworthy mechanism. Through transmission and dissemination of trust, credibility of the entity of IoV is calculated and measured. In this paper a multi-attributes-based trust model is proposed. When the trust relationship between nodes is evaluated, overall experiences of the evaluator are considered as the main reference content, which have a significant restraining effect on malicious behaviors of bad nodes. Moreover, this model combines heu-ristic algorithm and takes the previous trust evaluation as an important reference content. Thus accuracy of evaluation of trust relationship is improved and sensitivity of this algorithm on behaviors of nodes is enhanced.


Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019). A Multi-attributes-based Trust Model of Internet of Vehicle. In Network and System Security (706-713).

Conference Name 13th International Conference on Network and System Security
Conference Location Sapporo, Japan
Start Date Dec 15, 2019
End Date Dec 18, 2019
Acceptance Date Oct 6, 2019
Online Publication Date Dec 10, 2019
Publication Date Dec 10, 2019
Deposit Date Oct 24, 2019
Publicly Available Date Dec 11, 2020
Publisher Springer
Pages 706-713
Series Title Lecture Notes in Computer Science
Series Number 11928
Series ISSN 0302-9743
Book Title Network and System Security
Keywords Internet of Vehicle; Multidimensional Attributes; Direct Trust; Recommendation Trust; Trust Evaluation
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