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Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs †
With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-toll...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197326/ https://www.ncbi.nlm.nih.gov/pubmed/34073999 http://dx.doi.org/10.3390/s21113658 |
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author | Zhu, Qingfeng Ji, Sai Shen, Jian Ren, Yongjun |
author_facet | Zhu, Qingfeng Ji, Sai Shen, Jian Ren, Yongjun |
author_sort | Zhu, Qingfeng |
collection | PubMed |
description | With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches. |
format | Online Article Text |
id | pubmed-8197326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81973262021-06-13 Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † Zhu, Qingfeng Ji, Sai Shen, Jian Ren, Yongjun Sensors (Basel) Article With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches. MDPI 2021-05-24 /pmc/articles/PMC8197326/ /pubmed/34073999 http://dx.doi.org/10.3390/s21113658 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhu, Qingfeng Ji, Sai Shen, Jian Ren, Yongjun Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † |
title | Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † |
title_full | Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † |
title_fullStr | Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † |
title_full_unstemmed | Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † |
title_short | Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs † |
title_sort | privacy-preserving smart road-pricing system with trustworthiness evaluation in vanets † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8197326/ https://www.ncbi.nlm.nih.gov/pubmed/34073999 http://dx.doi.org/10.3390/s21113658 |
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