Blockchain-based privacy-preserving remote data integrity checking scheme for IoT information systems. Issue 6 (November 2020)

• Record Type: Journal Article
• Authors: Zhao, Quanyu; Chen, Siyi; Liu, Zheli; Baker, Thar; Zhang, Yuan
• Is Part Of: Information processing & management. Volume 57:Issue 6(2020:Nov.)
• Publication Date: 2020-11
• Subjects: Data integrity checking -- Privacy -- Blockchain -- Public verifiable -- Security; Information storage and retrieval systems -- Periodicals; Information science -- Periodicals; Systèmes d'information -- Périodiques; Sciences de l'information -- Périodiques; Information science; Information storage and retrieval systems; Periodicals; 658.4038
• DOI: 10.1016/j.ipm.2020.102355
• Languages: English
• ISSNs: 0306-4573

Abstract

Abstract: Remote data integrity checking is of great importance to the security of cloud-based information systems. Previous works generally assume a trusted third party to oversee the integrity of the outsourced data, which may be invalid in practice. In this paper, we utilize the blockchain to construct a novel privacy-preserving remote data integrity checking scheme for Internet of Things (IoT) information management systems without involving trusted third parties. Our scheme leverages the Lifted EC-ElGamal cryptosystem, bilinear pairing, and blockchain to support efficient public batch signature verifications and protect the security and data privacy of the IoT systems. The results of the experiment demonstrate the efficiency of our scheme.