Preserving Remote Data Integrity from Spoofing Attack in Cloud Environment using Probabilistic Checking Method

Abstract

Remote data integrity checking is a crucial technology in cloud computing. Recently many works focus on providing data dynamics and/or public verifiability to this type of protocols. Existing protocols can support both features with the help of a third party auditor. In existing system, they propose a remote data integrity checking protocol that supports data dynamics. This paper adapts existing protocol to support public verifiability. The proposed protocol supports public verifiability without help of a third party auditor. In addition, the proposed protocol does not leak any private information to third party verifiers. Through a formal analysis, we show the correctness and security of the protocol. After that, through theoretical analysis and experimental results, we demonstrate that the proposed protocol has a good performance. Keywords— Data Integrity, data dynamics, Public verifiability, Privacy.