Multikeyword Ranked Search over Cloud Data

Abstract

For greater flexibility, from local to commercial public cloud, data owners are stimulated to farm out their complex data management systems in cloud. Before outsourcing, Sensitive data has to be encrypted to protect data privacy which obsoletes traditional data exploitation based on plaintext keyword search. Thus, the main objective is enabling an encrypted cloud data search service. So, it is very important to allow multi-keyword query for the search service, while considering the large number of data users and documents in cloud, thus cloud computing is the long dreamed vision of computing as a utility, where cloud customers can vaguely store their data into the cloud so as to enjoy the on-demand high-quality applications and services from a shared pool of configurable computing resources.  Similarity ranking to meet the efficient data retrieval need. Related works are mainly focus on single keyword search or Boolean keyword search, and seldom differentiate the search results. Here, it is proposed a basic MRSE scheme using secure inner product computation, and then radically improve it by getting the different privacy requirements.