文章基本信息

标题：Achieving Individual User Privacy Demand through a Systematic Participatory Sensing Based High Quality Map Generation
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作者：Dr. K. Suresh Babu ; N.Jithender
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：2017
卷号：6
期号：8
页码：17219
DOI：10.15680/IJIRSET.2017.0608225
出版社：S&S Publications
摘要：Most of the programs collectively make the most the integrated maps and users’ modern-day area to offervarious offerings. Hence, it's far essential and quintessential to provide accurate and maximum-updated maps.Currently, virtual maps based totally at the satellite pictures and road degree information is widely used. But theycannot precisely reflect the most up-to-date ground information, especially in the developing countries, when cities areoften under constructions and renovations, the integrated maps are likely to be far behind the current state. In this paper,we jointly studying the high-quality map generation and the policy of privacy-preserving in the context of participantsensing. To be specific, the individual users merely need to upload unorganized sparse location points to reduce the riskof exposing users’ traces and utilize the Crust, a technique from computational geometry for curve reconstruction, toestimate the unobserved map as well as evaluate the degree of privacy leakage.
关键词：Privacy Protection; Privacy Leakage; participatory sensing