A thick-cloud solution for data auditing in a cloud environment

Protecting and auditing data is not an easy task, especially when it comes to cloud storage. As such, it is essential to design an efficient data auditing scheme along with a recovery process while controlling the cloud fees, in the literature, many works has been devoted to cloud storage security, but the majority did not consider the cloud fees into account or provide a cost analysis of their solutions. Therefore they cannot be deployed in a real cloud environment. For this reason, we introduce a new regenerating code-based model for cloud data integrity protection that can surely conduct data auditing operation with the minimum cost possible. We also give some insights about some new threat models like data tracking problem, which can cause the total loss of customer's data, and data loss insurance problem. The global evaluation of our model shows that our solution can save the total cost incurred by data check operation when using on-demand instances by 16%, and up to 40% when using reserved instance plan. While it incurs additional cost no more than 4% when triggering a repair operation for different parameters.