A User-Centric Data Protection Method for Cloud Storage Based on Invertible DWT

Protection on end users' data stored in Cloud servers becomes an important issue in today's Cloud environments. In this paper, we present a novel data protection method combining Selective Encryption (SE) concept with fragmentation and dispersion on storage. Our method is based on the invertible Discrete Wavelet Transform (DWT) to divide agnostic data into three fragments with three different levels of protection. Then, these three fragments can be dispersed over different storage areas with different levels of trustworthiness to protect end users' data by resisting possible leaks in Clouds. Thus, our method optimizes the storage cost by saving expensive, private, and secure storage spaces and utilizing cheap but low trustworthy storage space. We have intensive security analysis performed to verify the high protection level of our method. Additionally, the efficiency is proved by implementation of deploying tasks between CPU and General Purpose Graphic Processing Unit (GPGPU) in an optimized manner.

Automated summary

In this paper, a novel data protection method is proposed by combining Selective Encryption (SE) concept with fragmentation and dispersion on storage, dividing data into three fragments with different levels of protection using invertible Discrete Wavelet Transform (DWT), and dispersing them over storage areas with different levels of trustworthiness to protect end users' data. The method optimizes storage cost by saving expensive, private, and secure storage spaces and utilizing cheap but low trustworthy storage space, with intensive security analysis performed to verify the high protection level. Additionally, efficiency is demonstrated by deploying tasks between CPU and General Purpose Graphic Processing Unit (GPGPU) in an optimized manner.