文章基本信息

标题：Location Privacy Protection Based on Improved -Value Method in Augmented Reality on Mobile Devices
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作者：Chunyong Yin ; Jinwen Xi ; Ruxia Sun 等
期刊名称：Mobile Information Systems
印刷版ISSN：1574-017X
出版年度：2017
卷号：2017
DOI：10.1155/2017/7251395
出版社：Hindawi Publishing Corporation
摘要：With the development of Augmented Reality technology, the application of location based service (LBS) is more and more popular, which provides enormous convenience to people’s life. User location information could be obtained at anytime and anywhere. So user location privacy security suffers huge threats. Therefore, it is crucial to pay attention to location privacy protection in LBS. Based on the architecture of the trusted third party (TTP), we analyzed the advantages and shortages of existing location privacy protection methods in LBS on mobile terminal. Then we proposed the improved K-value location privacy protection method according to privacy level, which combines k-anonymity method with pseudonym method. Through the simulation experiment, the results show that this improved method can anonymize all service requests effectively. In addition to the experiment of execution time, it demonstrated that our proposed method can realize the location privacy protection more efficiently.