V. Rajkumar
Research Scholar, Dept. of Computer Science, AVVM Sri Pushpam College, Poondi, Thanjavur
Dr. V. Maniraj
Research Advisor, PG and Research Dept. of Computer Science, AVVM Sri Pushpam College, Poondi, Thanjavur. (Affiliated to Bharathidasan University) ORCID ID: 0000-0002-8113-2616
Abstract
With cloud computing, you have numerous services that are built on data that has been outsourced by employing the tremendous number of resources and tremendous computer power. But it also renders consumers incapable of retaining total control over their personal data. When it comes to keeping data private, users' personal information should be encrypted and sent to the cloud to prevent it from leaking. However, this increases the difficulty of data analysis and access control. Moreover, few existing efforts make use of fine-grained access control for cryptographic computational outputs, which remain out of the reach of many researchers. However, in the process of our prior work, a system for supporting various basic components (such as comparison, multiplication, and addition) was presented that was based on a framework that was more than flexible.
Our framework was designed to support a range of computational tasks while still respecting privacy. To deal with this shortcoming, we present privacy-preserving of four division techniques of computation along with customizable control access. However, here we expand a division technique over integers that is encrypted to provide division on privacy-preserving on other information types, which includes numbers that are either fixed-point (meaning the size is an integer value) or fractional (meaning the size is not a whole number). Finally, we present their proof of security and detail their inefficiency and lack of superiority.
Keywords:
References
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