• V.Nivetha
• T.Rebakkal
• M.Sharmila
• T.Saranya

Every day on-line user behavior a facts are being produced on the net. growing efforts have been loving to mining the more than enough behavior facts to get out of great value knowledge for make observations purposes or business interest .online users still have the danger to make open to for third-parties. The last ten years are attempting to act data aggregation in a privacy-preserving way. Having existence methods have a strong right not to be public system of care for trade at the price of limited aggregation operations, such as summation process, which free from doubt the need of behavior observations. In this paper, we offer a most important schema 1 PPSA, which encrypts users sensitive knowledge for computers to put a stop to right not to be public from both outside observers and the aggregation arm giver, and fully supports having selection mass purposes, uses for on-line user. We have instrumented new careful way and value the operation using a trace-driven evaluation .This careful way is based on a true on-line behavior knowledge. Our design effectively supports both over-all mass questions and having selection mass questions with working well pleasing computation 2 and news overheads .

"A Privacy Based Leakage Detection Of Intermediate Dataset In Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 3, page no.1001-1003, March-2018, Available :http://www.jetir.org/papers/JETIR1803189.pdf

"A Privacy Based Leakage Detection Of Intermediate Dataset In Cloud", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 3, page no. pp1001-1003, March-2018, Available at : http://www.jetir.org/papers/JETIR1803189.pdf