An Improved Scheme of Privacy Preserving Based on Lagrange Interpolation in Cloud Storage
Yu Jin, Yadan Wang · 2016
The increasing maturity of cloud computing has led many companies to store critical information in the cloud.The privacy preserving in the cloud storage still remains major concern because the management of the data might not be fully trustworthy.Privacy preserving brings in concern for data confidentiality.In this paper, the work pays more attention to the issues involved in the data confidentiality and service availability.It proposes an improved scheme of privacy preserving based on Lagrange interpolation which uses multi-clouds instead of single cloud service provider.Compared with its previous data hiding scheme based on Lagrange interpolation algorithm and Multiclouds, this improved scheme only uses Lagrange interpolation to ensure both data confidentiality and service availability .The experiment was done through deploying this system in four clouds.It shows that the improved scheme outperforms the existing multi-clouds researches in terms of the cost of storage space and performance in the situation that data confidentiality and service availability are ensured.