VRS-DB: Computation Exploration on Encrypted Database

• Published in: 2019 International Conference on Big Data and Computational Intelligence (ICBDCI) pp. 1 - 6
• Main Authors: Rauthan, Jitendra Singh, Singh Vaisla, Kunwar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-02-2019
• Subjects: Cloud Storage; Cryptography; Encrypted Query; Privacy; Security; Sensitive Data
• DOI: 10.1109/ICBDCI.2019.8686098

The security problems occur in the cloud data storage environment under the DBaaS framework, in which the DO (data-owner) publicizes information over the cloud data storage SP(service-provider). For securing the confidentiality, privacy, integrity, atomicity, isolation of the information, DO just change the form of the data by encrypting it to another secure form, and then DO upload that secured data over the SP. Present encryption plans, in any case, are just halfway homomorphic as in each of them was intended to enable one particular sort of calculation to be done on encoded information. These current plans can't be incorporated to answer genuine down to earth questions that include operations of various types. For that we proposed a new scheme VRS-DB, which offers protected query computation and exploration of encrypted database in a cloud computing. In particular, we address security problems in a cloud data storage framework, where scrambled appropriated information is queried under an unidentified sharing conventions. The framework gives an arrangement of rudimentary information interoperable administrators on scrambled information, which permits an extensive variety of SQL questions to be handled by the SP on encrypted data. This demo exhibits a VRS-DB model.