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：2015
卷号：4
期号：2
页码：693
DOI：10.15680/IJIRSET.2015.0402089
出版社：S&S Publications
摘要：This paper details about various methods prevailing in literature for effective query service mechanismsin cloud. A privacy indexing for range query is discussed in detail. Methods for deriving privacy information fromrandomized data are portrayed. Geometric data perturbation for privacy preserving outsourced data mining and attackresilientgeometric data perturbation private information retrieval and Dynamic authenticated index structures foroutsourced databases are examined. Various attacks view of distance preserving maps for privacy preserving datamining and privacy preserving index for range queries are semantically evaluated. Various methods to derive privateinformation from randomized data are studied in detail. This paper would promote a lot of research in the area of queryservice mechanism in clouds.
关键词：Privacy Index; Data Perturbation; Dynamic Authentication; Privacy Preserving Data Mining(PPDP);Randomized Data
