Confidentiality-conserving Multi-keyword Ranked Search Above Encrypted Cloud Data
Amol A. Dhumal, Sanjay A. Jadhav · Procedia Computer Science · 2016
In cloud computing, data owners outsource their complex data management systems from local sites to the public cloud for great flexibility and cost-effective. But before outsourcing, sensitive data have to be encrypted for protecting data privacy. This obsoletes traditional data utilization based on plaintext keyword search. Thus, allowing an encrypted cloud data search service is of vital importance. As 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. In literature of searchable encryption single keyword search or Boolean keyword search techniques are discussed. In this paper, we propose the problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing (MRSE). In which the queries are transferred to the server. Server searches the relevant content by using the coordinate matching and sends the results to the user. Then the user decrypts the data.