Description

A fundamental application is to outsource the mobile data to external cloud servers for scalable data storage. However, need to be encrypted due to the privacy and confidentiality concerns of their owner. This results in the distinguished difficulties on the accurate search over the encrypted mobile cloud data. We develop the searchable encryption for multi-keyword ranked search over the storage data. We utilize the relevance score and k-nearest neighbor techniques to develop an efficient multi-keyword search scheme that can return the ranked search results based on the accuracy. We aim to achieve an efficient system where any authorized user can perform a search on a remote database with multiple keywords, without revealing neither the keywords he searches for, nor the contents of the documents he retrieves. Our proposed system differs from the previous works which assume that only the data owner queries the database. In contrast to previous works, our proposal facilitate that a group of users can query the database provided that they possess trapdoors for search terms that authorize the users to include them in their queries. Moreover, our proposed system is able to perform multiple keyword search in a single query and ranks the results so the user can retrieve only the top matches. Information search and document retrieval from a remote database (e.g. cloud server) requires submitting the search terms to the database holder. However, the search terms may contain sensitive information that must be kept secret from the database holder.