期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：2
页码：2540
DOI：10.15680/IJIRSET.2015.0502180
出版社：S&S Publications
摘要：Location-based services (LBS) need users to unceasingly report their location to a doubtless untrustedserver to get services supported their location, which may expose them to privacy risks. Sadly , existing privacypreservingtechniques for LBS have many limitations, like requiring a fully-trusted third party, giving restricted privacyguarantees and acquisition high communication overhead. During this paper, we have a tendency to propose a userdefinedprivacy grid system referred to as dynamic grid system (DGS); the primary holistic system that fulfills fouressential needs for privacy-preserving shot and continuous LBS. (1) The system solely requires a semi-trusted thirdparty, accountable for effecting easy matching operations properly. This semi-trusted third party will not have any dataa couple of user’s location. (2) Secure shot and continuous location privacy is secured beneath our outlined adversarymodels. (3) The communication price for the user doesn't rely on the user’s desired privacy level , it solely depends onthe number of relevant points of interest within the section of the user. (4) though we have a tendency to solely targetvary and k-nearest-neighbor queries in this work, our system is simply extended to support different spatial querieswhile not dynamic the algorithms go past the semi-trusted third party and also the information server, provided thedesired search space of a spatial question is abstracted into spatial regions. Experimental results show that our DGS isa lot of economical than the progressive privacy-preserving technique for continuous LBS.
