Identity-Based Distributed Provable Data Possession in Multi-Cloud Storage
Remote data integrity checking is of crucial importance in cloud storage. It can make the clients verify whether their outsourced data is kept intact, without downloading the whole data. In some application scenarios, the clients have to store their data on multi-cloud servers. Malicious user could compromise the data integrity and confidentiality. From the two points, the authors propose a novel remote data integrity checking model: ID-DPDP (IDentity-based Distributed Provable Data Possession) in multi-cloud storage. Cloud encryption is a process of encoding the data in some format, i.e. embedding the text in the format of cipher text to protect data managed by untrusted server. An innovative architecture is proposed which guarantees the confidentiality of data that is stored in public cloud databases.