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Silence is golden: enhancing privacy of location-based services by content broadcasting and active caching in wireless vehicular networks

Liu, Bo, Zhou, Wanlei, Zhu, Tianqing, Gao, Longxiang, Luan, Hao and Zhou, Haibo 2016, Silence is golden: enhancing privacy of location-based services by content broadcasting and active caching in wireless vehicular networks, IEEE transactions on vehicular technology, vol. 65, no. 12, Article Number : 7132787, pp. 9942-9953, doi: 10.1109/TVT.2016.2531185.

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Title Silence is golden: enhancing privacy of location-based services by content broadcasting and active caching in wireless vehicular networks
Author(s) Liu, BoORCID iD for Liu, Bo orcid.org/0000-0002-3603-6617
Zhou, WanleiORCID iD for Zhou, Wanlei orcid.org/0000-0002-1680-2521
Zhu, Tianqing
Gao, LongxiangORCID iD for Gao, Longxiang orcid.org/0000-0002-3026-7537
Luan, Hao
Zhou, Haibo
Journal name IEEE transactions on vehicular technology
Volume number 65
Issue number 12
Season Article Number : 7132787
Start page 9942
End page 9953
Total pages 12
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2016-12
ISSN 0018-9545
1939-9359
Keyword(s) location-based service
privacy
vehicular networks
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Transportation Science & Technology
Engineering
Transportation
K-ANONYMITY
MODEL
DSRC
Summary The privacy issue of location-based service (LBS) applications represents a fundamental and critical research topic that shows distinguished challenges. Specifically, in the scenario of vehicular networks, due to connectivity transitory and throughput degradation caused by high vehicle mobility, traditional methods such as k-anonymity are not sufficient. In an effort to address this issue, we propose a framework that enhances the privacy of LBS by actively caching in the wireless vehicular network scenario. The scheme is designed under the dedicated short-range communication (DSRC) standard, with three original contributions. First, a point-of-interest (POI) query probability model for in-vehicle users is defined, considering the spatial relationship between the current location and the queried location. Second, three broadcasting content selection algorithms of the roadside unit (RSU) are proposed, including two adaptive updating methods and one knowledge-based precaching (KBPC) method. Third, we identify critical parameters that affect privacy, including RSU distance, vehicle speed, query set size of POI, size of each POI entry, and the proportion of channel capacity used for RSU broadcast (defined as channel occupancy). Finally, the proposed scheme is evaluated by extensive simulations, and the results are discussed in detail.
Language eng
DOI 10.1109/TVT.2016.2531185
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID DP140103649
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090650

Document type: Journal Article
Collection: School of Information Technology
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