ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing

In vehicular participatory sensing, vehicles may provide false data or low-quality data. Building trust in vehicular ad hoc networks is an efficient way to deal with this issue. On one hand, vehicles need to disclose necessary information to demonstrate their trustworthiness. On the other hand, vehi...

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Main Authors: Jin Wang, Youyuan Wang, Xiang Gu, Liang Chen, Jie Wan
Format: Article
Language:English
Published: Wiley 2018-09-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147718803299
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author Jin Wang
Youyuan Wang
Xiang Gu
Liang Chen
Jie Wan
author_facet Jin Wang
Youyuan Wang
Xiang Gu
Liang Chen
Jie Wan
author_sort Jin Wang
collection DOAJ
description In vehicular participatory sensing, vehicles may provide false data or low-quality data. Building trust in vehicular ad hoc networks is an efficient way to deal with this issue. On one hand, vehicles need to disclose necessary information to demonstrate their trustworthiness. On the other hand, vehicles tend to hide their sensitive information to preserve user privacy. Therefore, privacy and trust are conflict in vehicular ad hoc networks. A cluster-based reputation framework named ClusterRep is proposed to balance privacy and trust in vehicular ad hoc networks. In this framework, the cluster head collaborates with cluster members to change pseudonyms and reputation values. The experiments show the scalability and the effectiveness of the ClusterRep compared with Beta strategy and IncogniSense-floor strategy.
format Article
id doaj-art-9b2b733f33f64416b6c1cdb9a0dbecaa
institution OA Journals
issn 1550-1477
language English
publishDate 2018-09-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-9b2b733f33f64416b6c1cdb9a0dbecaa2025-08-20T02:20:25ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-09-011410.1177/1550147718803299ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensingJin WangYouyuan WangXiang GuLiang ChenJie WanIn vehicular participatory sensing, vehicles may provide false data or low-quality data. Building trust in vehicular ad hoc networks is an efficient way to deal with this issue. On one hand, vehicles need to disclose necessary information to demonstrate their trustworthiness. On the other hand, vehicles tend to hide their sensitive information to preserve user privacy. Therefore, privacy and trust are conflict in vehicular ad hoc networks. A cluster-based reputation framework named ClusterRep is proposed to balance privacy and trust in vehicular ad hoc networks. In this framework, the cluster head collaborates with cluster members to change pseudonyms and reputation values. The experiments show the scalability and the effectiveness of the ClusterRep compared with Beta strategy and IncogniSense-floor strategy.https://doi.org/10.1177/1550147718803299
spellingShingle Jin Wang
Youyuan Wang
Xiang Gu
Liang Chen
Jie Wan
ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing
International Journal of Distributed Sensor Networks
title ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing
title_full ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing
title_fullStr ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing
title_full_unstemmed ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing
title_short ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing
title_sort clusterrep a cluster based reputation framework for balancing privacy and trust in vehicular participatory sensing
url https://doi.org/10.1177/1550147718803299
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AT xianggu clusterrepaclusterbasedreputationframeworkforbalancingprivacyandtrustinvehicularparticipatorysensing
AT liangchen clusterrepaclusterbasedreputationframeworkforbalancingprivacyandtrustinvehicularparticipatorysensing
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