• M.Prabu
• E.Ganesh

As cloud computing gains popularity, more data owners are opting to move their complex data management systems from local sites to commercial public clouds for the benefits of flexibility and cost savings. However, to ensure data privacy, sensitive information must be encrypted before outsourcing, rendering traditional data utilization through plaintext keyword search ineffective. Therefore, there is a growing need for encrypted cloud data search services. With the vast number of data users and documents in the cloud, these services must allow for multi-keyword queries and provide similarity rankings to facilitate effective data retrieval. While previous research on searchable encryption has mostly focused on single keyword or Boolean keyword searches, this paper introduces the challenge of privacy-preserving Multi-keyword Ranked Search over Encrypted cloud data (MRSE) and sets strict privacy requirements for such a secure cloud data utilization system. We adopt the efficient principle of "coordinate matching" among the various multi-keyword semantics to capture the similarity between the search query and data documents. We also utilize "inner product similarity" to quantify this principle for similarity measurement. Our proposed scheme includes a basic MRSE that employs secure inner product computation and a significantly improved version that meets different privacy requirements in two levels of threat models. We thoroughly analyse the privacy and efficiency guarantees of these proposed schemes, and experiments on a real-world dataset confirm that our proposed schemes introduce low overhead on computation and communication.

Data privacy, MRSE, Privacy, efficiency.

" PRESERVING DATA USING MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD STORAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.79-82, June-2019, Available :http://www.jetir.org/papers/JETIR1907W11.pdf

" PRESERVING DATA USING MULTI-KEYWORD RANKED SEARCH OVER ENCRYPTED CLOUD STORAGE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp79-82, June-2019, Available at : http://www.jetir.org/papers/JETIR1907W11.pdf