A secure Search over Distributed Data

In recent years, due to the economic benefits and technical advances of cloud computing, huge amounts of data have been outsourced in the cloud. To protect the privacy of their sensitive data, data owners have to encrypt their data prior outsourcing it to the untrusted cloud servers. To facilitate searching over encrypted data, several approaches have been provided. However, the majority of these approaches handle Boolean search but not ranked search; a widely accepted technique in the current information retrieval (IR) systems to retrieve only the top–k relevant files. In this paper, propose a distributed secure ranked search scheme over the encrypted cloud servers. Such scheme allows for the authorized user to search the distributed documents in a descending order with respect to their relevance documents and the contents of files be retrieved. To do so, each data owner builds its own searchable index, and associates with each document in that index its weight score, which facilitate document ranking. To ensure the privacy of these weights, utilized the ranking. While preserving their capability to perform the ranking process and to conducted several empirical analyses on a real dataset, all programs needed to the propose system written using Matlab language.