QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles
Location-based services has been widely applied in cloud-enabled Internet of vehicles. Within these services, location privacy issues have captured significant attention. Vehicles use the technology of anonymity to implement occultation, the location is not revealed. In this process, large-scale dat...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-07-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147719841494 |
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| _version_ | 1850166410730274816 |
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| author | Ji-ming Chen Ting-ting Li Liang-jun Wang |
| author_facet | Ji-ming Chen Ting-ting Li Liang-jun Wang |
| author_sort | Ji-ming Chen |
| collection | DOAJ |
| description | Location-based services has been widely applied in cloud-enabled Internet of vehicles. Within these services, location privacy issues have captured significant attention. Vehicles use the technology of anonymity to implement occultation, the location is not revealed. In this process, large-scale data transmissions can reduce the quality of services. In order to ensure location privacy and high-quality services, the cloud manager customizes virtual machines for vehicles to support location-based services according to the vehicles’ demands. To achieve better performance, this article presents a conditional anonymity method that does not use bilinear pairings to address the problem of privacy disclosure by using discrete logarithm problem and Diffie–Hellman problem. Moreover, asymmetric key algorithms are used in the Internet of vehicles environment to reduce the cost. To guarantee secure data transmission in Internet of vehicles, the batch validation technique is used to address data integrity. Our theoretical security analysis and experiments show that the proposed scheme is secure in compared attack models, such as impersonation attacks, replay attacks, the man-in-the-middle attacks, and so on. Our proposed scheme ensures the security requirements such as message authentication, location privacy protection, and traceability, while lowering transmission and computation cost. |
| format | Article |
| id | doaj-art-e04d2a67cce4468d982b347b3654ec2c |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2019-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-e04d2a67cce4468d982b347b3654ec2c2025-08-20T02:21:28ZengWileyInternational Journal of Distributed Sensor Networks1550-14772019-07-011510.1177/1550147719841494QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehiclesJi-ming Chen0Ting-ting Li1Liang-jun Wang2School of Computer Science and Communication Engineering, Jiangsu Key Laboratory of Security Technology for Industrial Cyberspace, Jiangsu University, Zhenjiang, ChinaSchool of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, ChinaSchool of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, ChinaLocation-based services has been widely applied in cloud-enabled Internet of vehicles. Within these services, location privacy issues have captured significant attention. Vehicles use the technology of anonymity to implement occultation, the location is not revealed. In this process, large-scale data transmissions can reduce the quality of services. In order to ensure location privacy and high-quality services, the cloud manager customizes virtual machines for vehicles to support location-based services according to the vehicles’ demands. To achieve better performance, this article presents a conditional anonymity method that does not use bilinear pairings to address the problem of privacy disclosure by using discrete logarithm problem and Diffie–Hellman problem. Moreover, asymmetric key algorithms are used in the Internet of vehicles environment to reduce the cost. To guarantee secure data transmission in Internet of vehicles, the batch validation technique is used to address data integrity. Our theoretical security analysis and experiments show that the proposed scheme is secure in compared attack models, such as impersonation attacks, replay attacks, the man-in-the-middle attacks, and so on. Our proposed scheme ensures the security requirements such as message authentication, location privacy protection, and traceability, while lowering transmission and computation cost.https://doi.org/10.1177/1550147719841494 |
| spellingShingle | Ji-ming Chen Ting-ting Li Liang-jun Wang QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles International Journal of Distributed Sensor Networks |
| title | QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles |
| title_full | QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles |
| title_fullStr | QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles |
| title_full_unstemmed | QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles |
| title_short | QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles |
| title_sort | qbpp quality of services based location privacy protection method for location based services in cloud enabled internet of vehicles |
| url | https://doi.org/10.1177/1550147719841494 |
| work_keys_str_mv | AT jimingchen qbppqualityofservicesbasedlocationprivacyprotectionmethodforlocationbasedservicesincloudenabledinternetofvehicles AT tingtingli qbppqualityofservicesbasedlocationprivacyprotectionmethodforlocationbasedservicesincloudenabledinternetofvehicles AT liangjunwang qbppqualityofservicesbasedlocationprivacyprotectionmethodforlocationbasedservicesincloudenabledinternetofvehicles |