Anuradha Appasaheb Jagadale, Shilpa Gite
Abstract: Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. Now days lots of data owners outsourcing their data on cloud servers. Due to the data outsourcing, this new paradigm of data hosting service also introduces new security challenges, which requires an auditing service to check the data integrity in the cloud. This work studies the problem of ensuring the integrity of cloud data storage. In particular, we consider the task of allowing a third party auditor (TPA), on behalf of the data owner, to verify the integrity of the data stored in the cloud. Some existing integrity checking methods can only be useful for static data and, thus, cannot be applied to the auditing service since the data in the cloud can be dynamically updated. Thus, secure dynamic auditing protocol is desired to ensure data owners that their data is correctly stored in the cloud storage systems. In this paper, we design an auditing framework for cloud data storage systems and propose privacy-preserving and dynamic auditing protocol. Also, proposed auditing protocol doesnt require any trusted organizer to support batch auditing for multiple clouds. The analysis and results show that our proposed auditing protocols are secure and efficient, especially it reduce the computation overhead of the auditor.
Keywords: Storage auditing, dynamic auditing, privacy-preserving auditing, batch auditing, cloud computing