MULTI KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD DATA

Abstract

with the advent of cloud computing, data owners are motivated to outsource their Complex data
management systems from local sites to the commercial public cloud for great flexibility and economic savings. But for
protecting data privacy, sensitive data have to be encrypted before outsourcing, which obsoletes traditional data
utilization based on plaintext keyword search. Thus, enabling an encrypted cloud data search service is of paramount
importance. Considering the large number of data users and documents in the cloud, it is necessary to allow multiple
keywords in the search request and return documents in the order of their relevance to these keywords. Related works on
searchable encryption focus on single keyword search or Boolean keyword search, and rarely sort the Search results. We
define and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in
cloud computing (MRSE)