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A Kind of Event Trust Model for VANET Based on Statistical Method

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Abstract

The paper proposed a trust model based on mathematical statistic method to enhance the safety of a VANET. By applying the statistical principles such as significance test, hypothesis test and confidence interval, the model can help the reputation management center to calculate trust values of all vehicle nodes, can help vehicle nodes to judge whether an event message can be trust or not. The simulation experiment results show that the model can effectively identify false event messages, improve the accuracy of data and enhance the information security of a VANET.

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References

  1. Fangchun, Y. A. N. G., Shangguang, W. A. N. G., et al. (2014). An overview of internet of vehicles. China Communications, 10, 1–15.

    Google Scholar 

  2. Thakur, A., & Malekian, R. (2019). Internet of vehicles communication technologies for traffic management and road safety applications. Wireless Personal Communications, 109(1), 31–49.

    Article  Google Scholar 

  3. Bing, Ma., & Xianzhong, X. (2010). Cloud trust model for wireless sensor network. Computer Science, 37(3), 128–132.

    Google Scholar 

  4. Gerlach M. (2007). Trust for vehicular applications. Proceedings of the Eighth International Symposium on Autonomous Decentralized Systems, ISADS 2007.IEEE. pp 295–302.

  5. Minhas U F, Zhang J, Tran T, et al. (2010). Intelligent agents in mobile vehicular ad-hoc networks: Leveraging trust modeling based on direct experience with incentives for honesty. Proceedings of the 2010 IEEE/WIC/ACM international conference on intelligent agent technology. IEEE. pp 243–247.

  6. Raya M, Papadimitratos P, Gligor V D, et al. (2008). On data-centric trust establishment in ephemeral ad hoc networks. INFOCOM. Proceedings of the 27th IEEE communication society conference on computer communications. IEEE. pp 1238–1246.

  7. Golle P, Greene D, Staddon J. (2004). Detecting and correcting malicious data in VANETs. VANET - Proceedings of the first ACM international workshop on vehicular ad hoc networks. ACM. pp 29–37.

  8. Dotzer F, Fischer L, Magiera P. (2005). VARS: A vehicle ad-hoc network reputation system. Proceedings of the 6th IEEE international symposium on a world of wireless mobile and multimedia networks. IEEE. pp 454–456.

  9. Soleymani, S. A., Abdullah, A. H., Wan, H. H., et al. (2015). Trust management in vehicular ad hoc network: A systematic review. EURASIP Journal on Wireless Communications and Networking, 1, 146.

    Article  Google Scholar 

  10. Li X, Liu J, Li X, et al. (2013). RGTE: A reputation-based global trust establishment in VANETs. Proceedings of the 5th IEEE international conference on intelligent networking and collaborative systems, INCoS. IEEE. pp 210–214.

  11. Li Z, Shen H. (2011). A hierarchical account-aided Reputation Management system for large-scale MANETs[C]. Proceedings IEEE INFOCOM. IEEE.

  12. Luo, J., Liu, X., & Fan, M. (2009). A trust model based on fuzzy recommendation for mobile ad-hoc networks. Computer Networks the International Journal of Computer & Telecommunications Networking, 53(14), 2396–2407.

    MATH  Google Scholar 

  13. Chen C, Zhang J, Cohen R, et al. (2010). A trust modeling framework for message propagation and evaluation in VANETs. Proceedings of the 2nd international conference on information technology convergence and services, ITCS 2010. IEEE. pp 1–8.

  14. Ding Q, Li X, Jiang M, et al. (2010). Reputation management in vehicular ad hoc networks. Proceedings of the international conference on multimedia technology, ICMT 2010. IEEE.

  15. Baskar, S., & Dhulipala, V. R. S. (2018). Collaboration of trusted node and QoS based energy multi path routing protocol for vehicular ad hoc networks. Wireless Personal Communications, 103(4), 2833–2842.

    Article  Google Scholar 

  16. Shuai, Li. (2012). Research on vehicle ad hoc network MAC mechanism for traffic safety messages. Chongqing: Chongjing Jiaotong University.

    Google Scholar 

  17. Wang, J., Xiang, Gu., & JinWang, L. C. (2019). A trust scheme based on vehicles reports of events in VANETs. Wireless Personal Communications, 105(1), 121–143.

    Article  Google Scholar 

  18. Xiang, Gu., Wang, J., Qiu, J., & Jiang, Z. (2017). Self-recommendation mechanism in trust calculation among nodes in WSN. Wireless Personal Communications, 97(3), 3705–3723.

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by the Science Foundation of Nantong of Jiangsu Grants (JC2018131). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation. The author also sincerely thanks Dr. Dijiang Huang who is a professor at Arizona State University, and discussions with him gave the author great inspiration.

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Correspondence to Xiang Gu.

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Yan, X., Gu, X., Wang, J. et al. A Kind of Event Trust Model for VANET Based on Statistical Method. Wireless Pers Commun 118, 489–503 (2021). https://doi.org/10.1007/s11277-020-08027-1

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  • DOI: https://doi.org/10.1007/s11277-020-08027-1

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