Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Author:

Wu Jianbin1ORCID,Haider Sami Ahmed2ORCID,Bhardwaj Manish3ORCID,Sharma Aditi4ORCID,Singhal Piyush5ORCID

Affiliation:

1. Department of Computer Science and Engineering Zhejiang Normal University, Jinhua, China

2. Deparment of Computing University of Worcester, Worcester, UK

3. KIET Group of Institutions, Assistant Professor Research Computer Science and Engineering, Ghaziabad, Uttar Pradesh, India

4. Department of Computer Science Engineering & Information Technology, Institute of Engineering & Technology (an Autonomous Constituent Institute of Dr. A.P.J. Abdul Kalam Technical University, U.P Lucknow), Lucknow, India

5. Professor Department of Mechanical Engineering, GLA University, Mathura, India

Abstract

Recently, data integrity for multiagent-based big data environments has been challenging. This paper presents a blockchain-based Merkle DAG structure (M-DAG) for audit data integrity. M-DAG resolves the problem that arises due to the multicopy of a large data volume in a big data environment. It employed Boneh–Lynn–Shacham’s (BSL) signature to verify the integrity of identical multicopy on big data environments. The proposed M-DAG audit mechanism uses a consortium chain algorithm for decentralized traceability and audit to archive reliable data. The evaluation has been carried out for the efficiency of the data integrity audit.

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

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