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

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

Abstract

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.

Citation

Ou, W., Luo, E., Tan, Z., Xiang, L., Yi, Q., & Tian, C. (2019, December). A Multi-attributes-based Trust Model of Internet of Vehicle. Presented at 13th International Conference on Network and System Security, Sapporo, Japan

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 13th International Conference on Network and System Security
• 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
• DOI: https://doi.org/10.1007/978-3-030-36938-5_45
• Keywords: Internet of Vehicle; Multidimensional Attributes; Direct Trust; Recommendation Trust; Trust Evaluation
• Public URL: http://researchrepository.napier.ac.uk/Output/2252117