期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：3
页码：10949-10951
出版社：IJECS
摘要：Cloud computing emerges as a hottest trend in area of information technology and heterogeneous networking. Due to lessefficient allocation resources in a cost-efficient cloud environment, a user can tolerate a certain degree of delay while retrieving informationfrom the cloud to reduce costs. In this paper, we focused on two primary issues in such an environment: search privacy and efficiency. Wefirst come across a private searching scheme that was originally proposed by Ostrovsky. Their private keyword based retrieval scheme allowsa user to retrieve files of interest from un-trusted servers in leakage of any information. The main drawback is because of processing of allthe queries from different users, it will cause a heavy querying overhead incurred on the cloud and thus goes against the original intentionof cost efficiency. In this paper, we present three efficient information retrieval for ranked query (EIRQ) schemes to reduce queryingoverhead incurred on the cloud. In EIRQ, queries are classified into multiple ranks, where a higher ranked query can recover a higherpercentage of matched files on user demand. A user can retrieve files on demand by choosing queries of different ranks. This feature isuseful when the user only needs a small subset of files from large number of matched files. This system introduces retrieval of files with lowbandwidth and low computational and communication cost. Under different parameter settings, extensive evalu
