A Survey on Privacy Problems and Solutions for VANET Based on Network Model

Lim, Hun-Jung; Chung, Tai-Myoung

doi:10.1007/978-3-642-24669-2_8

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…In [13], by converting trajectories into location points, a virtual trajectory generation algorithm was proposed to protect vehicles' privacy. In [14], the works related to identity and location privacy threatening factors, problems, and solutions were studied. The research indicated most of the solutions use pseudonym identity or address changing scheme to protect identity privacy.…”

Section: Spatial Cloaking Location Privacy Protectionmentioning

confidence: 99%

TCA: A Trusted Collaborative Anonymity Construction Scheme for Location Privacy Protection in VANETs

2022

KSII TIIS

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As location-based services (LBS) are widely used in vehicular ad-hoc networks (VANETs), location privacy has become an utmost concern. Spatial cloaking is a popular location privacy protection approach, which uses a cloaking area containing k-1 collaborative vehicles (CVs) to replace the real location of the requested vehicle (RV). However, all CVs are assumed as honest in k-anonymity, and thus giving opportunities for dishonest CVs to submit false location information during the cloaking area construction. Attackers could exploit dishonest CVs' false location information to speculate the real location of RV. To suppress this threat, an edge-assisted Trusted Collaborative Anonymity construction scheme called TCA is proposed with trust mechanism. From the design idea of trusted observations within variable radius r, the trust value is not only utilized to select honest CVs to construct a cloaking area by restricting r's search range but also used to verify false location information from dishonest CVs. In order to obtain the variable radius r of searching CVs, a multiple linear regression model is established based on the privacy level and service quality of RV. By using the above approaches, the trust relationship among vehicles can be predicted, and the most suitable CVs can be selected according to RV's preference, so as to construct the trusted cloaking area. Moreover, to deal with the massive trust value calculation brought by large quantities of LBS requests, edge computing is employed during the trust evaluation. The performance analysis indicates that the malicious response of TCA is only 22% of the collaborative anonymity construction scheme without trust mechanism, and the location privacy leakage is about 32% of the traditional Enhanced Location Privacy Preserving (ELPP) scheme.

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Section: Spatial Cloaking Location Privacy Protectionmentioning

confidence: 99%

TCA: A Trusted Collaborative Anonymity Construction Scheme for Location Privacy Protection in VANETs

2022

KSII TIIS

View full text Add to dashboard Cite

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“…The first goal creates issues for neighborhood-based mechanisms, like cooperative collision warning. Indeed, changing pseudonyms requires to flush the communication stack to change identifiers on all layers, and to avoid sending messages with inconsistent sets of identifiers [172]. Therefore, messages may get lost and routing tables will have inconsistent entries as a result of pseudonym changes [101].…”

Section: A Considering Pseudonym Impact On Communication Stack and Se...mentioning

confidence: 99%

Pseudonym Schemes in Vehicular Networks: A Survey

Petit

Schaub

Feiri

et al. 2015

IEEE Commun. Surv. Tutorials

381

219

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Safety-critical applications in cooperative vehicular networks require authentication of nodes and messages. Yet, privacy of individual vehicles and drivers must be maintained. Pseudonymity can satisfy both security and privacy requirements. Thus, a large body of work emerged in recent years, proposing pseudonym solutions tailored to vehicular networks. In this survey, we detail the challenges and requirements for such pseudonym mechanisms, propose an abstract pseudonym lifecycle, and give an extensive overview and categorization of the state of the art in this research area. Specifically, this survey covers pseudonym schemes based on public key and identity-based cryptography, group signatures and symmetric authentication. We compare the different approaches, give an overview of the current state of standardization, and identify open research challenges.

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MMIR: a microscopic mechanism for street selection based on intersection records in urban VANET routing

Cai

Liang

Sun

2019

J Wireless Com Network

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In urban vehicular ad hoc networks (VANETs), the intersection-based routing scheme has represented its greater applicability and better efficiency to adapt to high and constrained mobility. How to make an accurate decision for street selection is a challenging issue due to the rapid topology changes in VANETs. In this paper, we propose a microscopic mechanism based on intersection records (MMIR) in which the intersection vehicle nodes maintain and update a records table with every passing vehicle's individual information. By analyzing and processing these entries, we evaluate these vehicles' current positions so as to compute the connectivity probability or estimated delivery delay for all candidate streets to support street selection. In contrast to the statistical and macroscopic information for the common condition, we firstly make use of the individual and microscopic data to enhance the accuracy of estimated results. Furthermore, according to the quantity and the running interval, we classify vehicles into two categories: individual and queue vehicles, in order to effectively decrease the complexity of position estimation. Lastly, since there are no dedicated control packets generated in MMIR, the network overhead is low. The simulation results show that the proposed MMIR outperforms existing approaches of street selection in terms of the accuracy of computed connectivity probability and estimated delay.

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A Survey on Privacy Problems and Solutions for VANET Based on Network Model

Cited by 3 publications

References 25 publications

TCA: A Trusted Collaborative Anonymity Construction Scheme for Location Privacy Protection in VANETs

TCA: A Trusted Collaborative Anonymity Construction Scheme for Location Privacy Protection in VANETs

Pseudonym Schemes in Vehicular Networks: A Survey

MMIR: a microscopic mechanism for street selection based on intersection records in urban VANET routing

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