Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing.
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| Title: | Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing. |
|---|---|
| Authors: | Lewis Nkenyereye1 nkenyele@pukyong.ac.kr, Youngho Park1 pyhoya@pknu.ac.kr, Kyung-Hyune Rhee1 khrhee@pknu.ac.kr |
| Source: | Journal of Supercomputing. Mar2018, Vol. 74 Issue 3, p1024-1044. 21p. |
| Subjects: | Cloud computing, Traffic engineering software, Data security, Data analysis, Computer network protocols |
| Abstract: | Intelligent transportation systems seek to maximize the usage of data generated by the vehicles for road users assistance. Combining vehicular ad hoc network with cloud computing makes it easy for the fixed infrastructures along the roads to collect and analyze safety messages for the benefits of the road users and the transportation authorities. However, security features need to be fully assessed before the adoption of such applications. In this paper, we present a secure vehicle traffic data dissemination and analysis in vehicular cloud computing in which the identity privacy of the vehicles and their generated message is achieved through pseudonym techniques. We use anonymous credential to guarantee the authorization of service demanding vehicles. ID-based signature is applied to assure the authentication of the vehicles for given pseudonyms. The efficient verification of signature on the message and revoked vehicles are achieved through batch verification technique and pseudonymous revocation list, respectively. Traffic estimation methods are applied to mine coarse-grained data collected by road side infrastructures. The merits of the proposed protocol compared to existing ones are shown through extensive simulations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 128228868 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lewis+Nkenyereye%22">Lewis Nkenyereye</searchLink><relatesTo>1</relatesTo><i> nkenyele@pukyong.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Youngho+Park%22">Youngho Park</searchLink><relatesTo>1</relatesTo><i> pyhoya@pknu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kyung-Hyune+Rhee%22">Kyung-Hyune Rhee</searchLink><relatesTo>1</relatesTo><i> khrhee@pknu.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Mar2018, Vol. 74 Issue 3, p1024-1044. 21p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering+software%22">Traffic engineering software</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+network+protocols%22">Computer network protocols</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Intelligent transportation systems seek to maximize the usage of data generated by the vehicles for road users assistance. Combining vehicular ad hoc network with cloud computing makes it easy for the fixed infrastructures along the roads to collect and analyze safety messages for the benefits of the road users and the transportation authorities. However, security features need to be fully assessed before the adoption of such applications. In this paper, we present a secure vehicle traffic data dissemination and analysis in vehicular cloud computing in which the identity privacy of the vehicles and their generated message is achieved through pseudonym techniques. We use anonymous credential to guarantee the authorization of service demanding vehicles. ID-based signature is applied to assure the authentication of the vehicles for given pseudonyms. The efficient verification of signature on the message and revoked vehicles are achieved through batch verification technique and pseudonymous revocation list, respectively. Traffic estimation methods are applied to mine coarse-grained data collected by road side infrastructures. The merits of the proposed protocol compared to existing ones are shown through extensive simulations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11227-016-1773-0 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1024 Subjects: – SubjectFull: Cloud computing Type: general – SubjectFull: Traffic engineering software Type: general – SubjectFull: Data security Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Computer network protocols Type: general Titles: – TitleFull: Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lewis Nkenyereye – PersonEntity: Name: NameFull: Youngho Park – PersonEntity: Name: NameFull: Kyung-Hyune Rhee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2018 Type: published Y: 2018 Identifiers: – Type: issn-print Value: 09208542 Numbering: – Type: volume Value: 74 – Type: issue Value: 3 Titles: – TitleFull: Journal of Supercomputing Type: main |
| ResultId | 1 |
