A User-Centric Data Protection Method for Cloud Storage Based on Invertible DWT
| Autor: | Gerard Memmi, Meikang Qiu, Han Qiu, Hassan N. Noura, Zhong Ming |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Discrete wavelet transform
Security analysis Computer Networks and Communications Computer science End user business.industry Distributed computing Cloud computing Encryption Computer Science Applications Hardware and Architecture Data Protection Act 1998 General-purpose computing on graphics processing units business Cloud storage Software Information Systems |
| Zdroj: | IEEE Transactions on Cloud Computing. 9:1293-1304 |
| ISSN: | 2372-0018 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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