Location Privacy Protection Research Based on Querying Anonymous Region Construction for Smart Campus
Along with the rapid development of smart campus, the deployment of novel learning applications for smart campus requires full consideration of information security issues. Location privacy protection is one of the most important issues, which considers the privacy protection and guarantees the qual...
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| Veröffentlicht in: | Mobile information systems 2018-01, Vol.2018 (2018), p.1-11 |
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| container_title | Mobile information systems |
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| creator | Wang, Jin Yin, Chunyong Xi, Jinwen Sun, Ruxia Kim, Gwang-jun |
| description | Along with the rapid development of smart campus, the deployment of novel learning applications for smart campus requires full consideration of information security issues. Location privacy protection is one of the most important issues, which considers the privacy protection and guarantees the quality of service. The existing schemes did not consider the area of the querying regions for location-based service provider (LSP) during the construction of the anonymous regions, which led to the low quality of service. To deal with this problem, the user’s query range was introduced to present a novel anonymous region construction scheme. In the proposal, the anonymous server first generated the original anonymous subregions according to the user’s privacy requirements, and then merged these subregions to construct the anonymity regions submitted to LSP based on the size of corresponding querying regions. The security and experiment analysis show that the proposed scheme not only protects the user’s privacy effectively but also decreases the area of LSP querying regions and the region-constructing time, improving the quality of service for smart campus. |
| doi_str_mv | 10.1155/2018/3682382 |
| format | Article |
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Location privacy protection is one of the most important issues, which considers the privacy protection and guarantees the quality of service. The existing schemes did not consider the area of the querying regions for location-based service provider (LSP) during the construction of the anonymous regions, which led to the low quality of service. To deal with this problem, the user’s query range was introduced to present a novel anonymous region construction scheme. In the proposal, the anonymous server first generated the original anonymous subregions according to the user’s privacy requirements, and then merged these subregions to construct the anonymity regions submitted to LSP based on the size of corresponding querying regions. 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| ispartof | Mobile information systems, 2018-01, Vol.2018 (2018), p.1-11 |
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| language | eng |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley Online Library Open Access; Alma/SFX Local Collection |
| subjects | Algorithms Cybersecurity Identity theft Location based services Methods Neural networks Personal information Privacy Queries Researchers |
| title | Location Privacy Protection Research Based on Querying Anonymous Region Construction for Smart Campus |
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