• MANTHRIPRAGADA SATYAVANI
• T.V.K.P PRASAD

Malicious insiders represent a genuine danger to cloud data protection and this legitimizes the emphasis on data leakage because of attackers or to outcasts utilizing the qualifications of authentic representatives. This paper limited to NoSQL databases with an adaptable blueprint. Data encryption can diminish information leakage, yet it is unrealistic to scramble enormous databases and additionally all fields of database records. Basic to recognize sensitive records in a data warehouse and focus on endeavors to secure them. The limit of a leakage direct presented in this work measures the instinctively evident intends to trigger alerts when an insider assailant utilizes exorbitant PC assets to relate information in various databases. The Sensitivity Analysis based on Data Sampling (SADS) presented in this paper adjusts the exchange offs among higher effectiveness in distinguishing the dangers presented by information-leakage and the accuracy of the outcomes gotten by sampling huge accumulations of archives.

Information Leakage, Sensitivity Study, Cross Correlation Estimation.

"SADS: INFORMATION LEAKAGE IN MULTI CLOUD ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.f317-f324, August-2021, Available :http://www.jetir.org/papers/JETIR2108641.pdf

"SADS: INFORMATION LEAKAGE IN MULTI CLOUD ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppf317-f324, August-2021, Available at : http://www.jetir.org/papers/JETIR2108641.pdf