S.Dhaarani, K.Anitha, Prof.M.Sarmila and Prof.S.Balamurugan
This paper details about various methods prevailing in literature for effective query service mechanisms in cloud. A privacy indexing for range query is discussed in detail. Methods for deriving privacy information from randomized data are portrayed. Geometric data perturbation for privacy preserving outsourced data mining and attackresilient geometric data perturbation private information retrieval and Dynamic authenticated index structures for outsourced databases are examined. Various attacks view of distance preserving maps for privacy preserving data mining and privacy preserving index for range queries are semantically evaluated. Various methods to derive private information from randomized data are studied in detail. This paper would promote a lot of research in the area of query service mechanism in clouds.