Two-cloud secure Database for Numeric-related SQL rangequeries with Privacy Preserving.

MCA

cloud-baseddatabasesisacriticalconcernintoday’sdatadrivenworld.Thisabstractproposesasolutionthatleveragestwo cloud secure databases to achieve privacy-preserving capa-bilities for such queries. The solution combines the concepts ofSecure Multiparty Computation (MPC) and Fully HomomorphicEncryption (FHE) to provide robust privacy guarantees. In theproposedarchitecture,thedataisdistributedacrossmultipledatabase servers, 23 with each server holding a fraction of thedataset. The MPC technique is employed to allow collaborativecomputation of range queries over the distributed data withoutexposingtheactualvaluestoanysingleparty.Bysecurelycombining the results obtained from each server. By combiningthestrengthsofMPCandFHE,theproposedsolutionprovidesa robust and privacy-preserving framework for numericrelatedSQL range queries in cloud-based databases. It offers a balancebetween data privacy and query functionality, allowing users toretrievemeaningfulresultswhileprotectingsensitiveinformation.The effectiveness and efficiency of the solution can be evaluatedthrough comprehensive experiments and performance analysis,ensuring its suitability for real-world applications where privacyandsecurityareparamountconcerns.

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