Dependable Data Outsourcing Scheme Based on Cloud-of-Clouds Approach with Fast Recovery
Chun‐I Fan, Jheng-Jia Huang, Shang-Wei Tseng, I-Te Chen · IEEE Transactions on Cloud Computing · 2018
Cloud computing is increasingly popular today. Cloud services such as data-outsourcing services provide a growing number of users access to cloud storage for large quantities of data, and enterprises are turning to cloud storage for cost-effective remote backup. In 2011, DEPSKY shows and overcomes four limitations hinder the effectiveness of cloud storage: loss of availability, loss and corruption of data, loss of privacy, and vendor lock-in. Unfortunately, DEPSKY lacks an error detection mechanism and comes with heavy computing costs. Therefore, we propose a new data-outsourcing scheme overcoming not only the four limitations, but also the shortcomings of DEPSKY. In this paper, we modify Nyberg's accumulator and apply it to our three proposed error-detection methods. Moreover, we specially design a fast recovery method that is faster than DEPSKY and alternative methods.