Author(s): G.T.Prabavathi; S.Amsaveni
Due to the advancements in cloud computing users are allowed to store sensitive information in the centralized cloud. When data owners share their outsource data with a large number of users who are willing to retrieve only certain specific data, then keyword based search is essential. Keyword based search technique allows users to retrieve selective files of interest. The objective of privacy preserving algorithm is to extract relevant knowledge from large amount of data while protecting the sensitive information at the same time. Applying keyword based search in the encrypted cloud data is a challenging task due to security and privacy obstacles. There exists many research works to solve the problem of privacy preserving over encrypted cloud data using multi-keyword ranked search technique. This paper is a preliminary attempt to survey the algorithms that preserves privacy in cloud data using multi-keyword ranked searching.