• Ms. Alpha Vijayan
• Ms. Josmy George

In cloud computing, to protect privacy when outsourcing database management system, confidential data has to be encryptedwhich however renders traditional query processing methods inapplicable. First the confidentiality requires hiding the value and the relative order of the attribute in records from the cloud server, but computing a range query requires comparing the values of this attribute. It defines and solve the challenging problem of privacy-preserving multi-keyword ranked search over encrypted data in cloud computing Establish a set of strict privacy requirements for such a secure cloud data utilization system.Among various multi-keyword semantics, choose the efficient similarity measure of coordinate matching.This further use inner product similarity to quantitatively evaluate such similarity measure. First propose a basic idea for the multi-keyword ranked search over encrypted cloud data schemes based on secure inner product computation, and then give two significantly improved multi-keyword ranked search over encrypted cloud data schemes to achieve various stringent privacy requirements in two different threat models. To improve search experience of the data search service, further extend

Ball tree index ,coordinate matching, Cloud Stack, k-nearest neighbor, infrastructure convergence, service level agreements

"PRESERVING PRIVACY OF MULTIPLE DATA IN A CLOUD OVER A SECURED NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.621-629, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805706.pdf

"PRESERVING PRIVACY OF MULTIPLE DATA IN A CLOUD OVER A SECURED NETWORK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp621-629, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805706.pdf