Paper Contents
Abstract
The project, which was developed using JAVA as the front-end and MySQL server 2005 as the back-end, was dubbed "A Scheme for Effective Ciphertext Index Retrieval Based on Edge Computing Framework." Due to cloud computing's increased flexibility and cost savings, data owners are motivated to outsource their complex data management systems from local sites to commercial public clouds. However, sensitive data must be encrypted prior to outsourcing in order to protect privacy. This renders the previous method of data utilization, which relied on plaintext keyword searches, obsolete. Consequently, it is essential to enable an encrypted cloud data search service. Given the large number of cloud data users and documents, it is essential for the search service to support multi-keyword queries and provide result similarity ranking in order to effectively meet the requirement for data retrieval. It is difficult to distinguish between search results because related research on searchable encryption focuses primarily on Boolean keyword search or a single-keyword search. We define and solve the difficult problem of privacy-preserving multi-keyword ranked search (MRSE) over encrypted cloud data for the first time. In addition, we establish stringent privacy requirements for a secure system that uses cloud data.
Copyright
Copyright © 2023 Sureshkumar T, Hariharan N, Jayakumar K K, Jotheeswaran H, Kowsik G. This is an open access article distributed under the Creative Commons Attribution License.
