Efficient Multi Keyword Search and Retrieve Encrypted Cloud Data Using Iddfs and Fpgrowth Algorithm

Abstract

Cloud computing is a new technology that is paving the way for a plethora of new technologies and possibilities. The cloud's use has skyrocketed as a result of the unending advantages it provides. This increase in cloud use encouraged end-users to outsource their documents to the cloud, thus reducing financial burdens. Outsourcing sensitive information to a third-party server is often a risk since the data can be accessed by malicious insiders or outsiders in its original form. Researchers have introduced various schemes for searching outsourced data, but there is often a tradeoff between search efficiency and search capabilities of these searchable encryption schemes. To maintain a balance between search efficiency and search capabilities, a hybrid search scheme that can provide relevant results while preserving search efficiency is needed. The hybrid encrypted multi-keyword search scheme was introduced in this paper. The proposed scheme first conducts a conjunctive keyword search, in which documents containing the entire query words are easily retrieved and sorted based on their relevance to the query. If the number of obtained results exceeds the number of desired results, the search is efficient. If, on the other hand, the results fall below the end user-specified threshold, disjunctive searching is used. The records containing the subset of query words are included in the results of disjunctive searching. The obtained results are rated and shared with the end users. The search efficiency, search accuracy (measured in terms of recall and precision), and rank efficiency are all analyzed.