Chain of Digital Data Blocks Linked by a Numeric Linear Block Correction Code, as an Alternative to the Blockchain Technology

Terentyev, A. I.

doi:10.1109/mlsd52249.2021.9600226

Cited by 3 publications

(1 citation statement)

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“…(a) e large data volume of big data requires that data integrity verification technology meet the efficiency requirements of auditing and realize efficient judgment of data integrity. (b) Due to the wide range of significant data sources, the data types have become diverse and data can be divided into three types: structured, semistructured, and unstructured [5]. For example, the significant data types in government affairs can be divided into four categories: business data, public opinion and social situation data, environmental data, and decentralized public data [6].…”

Section: Introductionmentioning

confidence: 99%

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

Haider

Bhardwaj³

et al. 2022

Security and Communication Networks

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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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Section: Introductionmentioning

confidence: 99%