• M. Ramya Sudha
• Dr. I Hema Latha

Here enhancing the structure for privacy preserving redistributed drug revelation, which we allude to as POD. In particular, POD is enhanced to empower the cloud to securely use different drug condition providers' drug plans to get ready with classification given by model provider. In our philosophy, we arrangement secure calculation protocols to empower the cloudserver to perform generally used entire number and segment calculations. Here arrangement a protected security parameter determination convention to build up a safe progressive critical improvement convention to furtively restore both pick protected parameters. The readied classification used to choose if a drug engineered complex is dynamic or not in a privacy preserving way. At last, we exhibit that the enhanced POD achieve the objective of preparing and chemical complex classification without privacy leak to unapproved stages, and what's more representative its usage and profitability by means of genuine drug data sets.

"Secure Outsourcing Drug Data Discovery using SVM in Cloud Computing Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.5-8, June 2019, Available :http://www.jetir.org/papers/JETIRCX06002.pdf

"Secure Outsourcing Drug Data Discovery using SVM in Cloud Computing Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp5-8, June 2019, Available at : http://www.jetir.org/papers/JETIRCX06002.pdf