Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments. (16th May 2022)

• Record Type: Journal Article
• Authors: Wu, Jianbin; Haider, Sami Ahmed; Bhardwaj, Manish; Sharma, Aditi; Singhal, Piyush
• Other Names: Soni Mukesh Academic Editor.
• Is Part Of: Security and communication networks. Volume 2022(2022)
• Publication Date: 2022-05-16
• Subjects: Computer networks -- Security measures -- Periodicals; Computer security -- Periodicals; Cryptography -- Periodicals; 005.805
• DOI: 10.1155/2022/8165653
• Languages: English
• ISSNs: 1939-0114

Abstract

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.