[Retracted] Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Jianbin Wu; Sami Ahmed Haider; Manish Bhardwaj; Aditi Sharma; Piyush Singhal

doi:10.1155/2022/8165653

[Retracted] Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Jianbin Wu, Sami Ahmed Haider^*, Manish Bhardwaj, Aditi Sharma, Piyush Singhal

^*Corresponding author for this work

School of Engineering & Physical Sciences

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

2 Downloads (Pure)

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.

Original language	English
Article number	8165653
Journal	Security and Communication Networks
Volume	2022
Issue number	1
Early online date	16 May 2022
DOIs	https://doi.org/10.1155/2022/8165653
Publication status	Published - 2022

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

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10.1155/2022/8165653Licence: CC BY

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Copyright © 2022 Jianbin Wu et al. *is is an open access article distributed under the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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.",

author = "Jianbin Wu and Haider, {Sami Ahmed} and Manish Bhardwaj and Aditi Sharma and Piyush Singhal",

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AU - Singhal, Piyush

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AB - 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.

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[Retracted] Blockchain-Based Data Audit Mechanism for Integrity over Big Data Environments

Abstract

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