Enterprise networking big data auditing risk control architecture based on blockchain consensus mechanism

Abstract

The invention relates to an enterprise networking big data auditing risk control architecture based on a block chain consensus mechanism, and the architecture comprises: a source data collection layerwhich provides a plurality of interfaces for the input of different structural data; a data preprocessing storage layer which is used for classifying, extracting, cleaning and integrating the data ofthe source data acquisition layer; a multi-dimensional auditing storage layer which organizes each block on the block chain to perform data operation and comparison auditing according to a built-in business rule model, performs statistical analysis on a feedback auditing result, and achieves a business data auditing consensus based on a consensus mechanism of the block chain, wherein the audit result data subjected to analysis and audit processing is stored into corresponding regional block nodes respectively to form an audit evidence chain by different audit results of the same data; a monitoring and early warning layer which is used for identifying the customs clearance user according to the data authority, the function authority and the role and providing early warning; and an upper business analysis display layer which is used for generating a display interface by querying and analyzing the block chain data.

Description

technical field [0001] The purpose of the present invention is to provide a block chain technology, in particular to a risk control method for enterprise networking big data auditing based on a block chain consensus mechanism. Background technique [0002] With the development of information technology, the advent of the era of big data provides opportunities and challenges for electronic data audit. Among them, innovative audit technology and methods are an important means to achieve full audit coverage, which requires the construction of a big data audit work model, the improvement of audit capabilities, quality and efficiency, and the expansion of the breadth and depth of audit supervision. [0003] The article "Research on Network Audit Risk Control in Big Data Environment" analyzes the risks in the big data environment and proposes improvement plans. Improve the data collection method for online auditing, including real-time synchronization of online data, regular repo...

AI Technical Summary

Problems solved by technology

Facing the challenges of network security at present, this simple data protection method is not enough, and the protection against malicious tampering attacks is low

At the same time, the study did not conduct statistics and control on the abnormal results and audit risk events in the audit process.

No proposed method for analyzing identified risk anomalies during the audit process

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