Distributed Data Integrity Verification Scheme in Multi-Cloud Environment

Abstract

Most existing data integrity auditing protocols in cloud storage rely on proof of probabilistic data possession. Consequently, the sampling rate of data integrity verification is low to prevent expensive costs to the auditor. However, in the case of a multi-cloud environment, the amount of stored data will be huge. As a result, a higher sampling rate is needed. It will also have an increased cost for the auditor as a consequence. Therefore, this paper proposes a blockchain-based distributed data integrity verification protocol in multi-cloud environments that enables data verification using multi-verifiers. The proposed scheme aims to increase the sampling rate of data verification without increasing the costs significantly. The performance analysis shows that this protocol achieved a lower time consumption required for verification tasks using multi-verifiers than a single verifier. Furthermore, utilizing multi-verifiers also decreases each verifier’s computation and communication costs.

Dynamic verification of data integrity on cloud based on chameleon hash algorithm

“…However, the challengeresponse mechanism is limited, allowing CSP to perform replay attacks. Witanto [11] proposed a blockchain-based protocol for enhancing data integrity verification in cloud storage, aiming to increase sampling rates efficiently in multi-cloud environments while managing costs. Liu [12] introduced a blockchain-based auditing scheme for cloud storage that replaces traditional reliance on third-party auditors with a quad Merkle hash tree method and smart contracts to enhance data integrity verification's reliability and efficiency.…”

Correction: Witanto et al. Distributed Data Integrity Verification Scheme in Multi-Cloud Environment. Sensors 2023, 23, 1623

“…The authors make the following corrections to the published paper [1]. The errors appeared in the text because of the explanation in the following.…”