A Delayed-Update Provable Data Possession in the Cloud

Data stored in the cloud may be corrupted or lost by many factors. So verifying the integrity of data in the cloud has emerged as a critical security issue. We introduce a model for a delayed-update provable data possession (DU-PDP) that allows clients adopting delayed-update policy to verify the integrity of their own data stored in the cloud. Compared with other similar PDP models, it can efficiently support dynamic data. We consider two different typical updating scenarios, which called as single data block frequently updating and multiple blocks association update. We give the detailed analysis on the security of the model. Experiments using our implementation reveal that the DU-PDP can drastically reduce I/O costs and improve update operation efficiently with our delayed-update policy.