Financial Automation Audit Method Based on Blockchain Technology

Area of Science:

• Accounting and Information Systems
• Computer Science
• Financial Technology

Background:

• Blockchain technology offers decentralized, continuously growing databases.
• Its integration into financial auditing is increasingly significant.
• Automation in financial auditing presents new opportunities and challenges.

Purpose of the Study:

• To investigate blockchain technology's role in financial automation auditing.
• To explore the impact of blockchain concepts and BP Neural Networks on auditing methods.
• To gather practical insights from industry professionals and researchers.

Main Methods:

• Literature review on blockchain technology, hash functions, and financial auditing.
• Analysis of the BP Neural Network (BPNN) and its algorithms in auditing.
• Dissemination of a poll survey to diverse stakeholders in the financial sector.

Main Results:

• Interconnected environments are identified as the most crucial factor for adopting blockchain in auditing.
• The study highlights the potential of blockchain and BPNN for enhancing financial automation.
• Survey results indicate a high score of 4.36 for speculation based on interconnected environments.

Conclusions:

• Blockchain technology has a significant impact on the future of financial auditing.
• The integration of advanced technologies like BPNN can drive automation in financial processes.
• Further research and practical implementation are needed to fully realize the benefits of blockchain in auditing.