Research Article
Cloud Data Integrity Verification Algorithm for Smart Accounting Informatization in Cloud Computing
@ARTICLE{10.4108/eetsis.8828, author={Jun Zhang and Liang Xian}, title={Cloud Data Integrity Verification Algorithm for Smart Accounting Informatization in Cloud Computing}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={12}, number={6}, publisher={EAI}, journal_a={SIS}, year={2025}, month={12}, keywords={cloud computing, smart accounting, information technology, data integrity, verification algorithms, digital signatures, blockchain}, doi={10.4108/eetsis.8828} }- Jun Zhang
Liang Xian
Year: 2025
Cloud Data Integrity Verification Algorithm for Smart Accounting Informatization in Cloud Computing
SIS
EAI
DOI: 10.4108/eetsis.8828
Abstract
INTRODUCTION: With the rapid development of cloud computing and intelligent technology, traditional accounting informatization systems are gradually migrating to cloud computing platforms, promoting financial management's automation and intelligence. OBJECTIVES: However, data security in the cloud computing environment, especially the issue of data integrity, has become one of the core challenges for intelligent accounting informatization systems. Accounting informatization systems rely on the storage and processing of a large amount of financial, tax, and transaction data, and the integrity of these data is directly related to the financial transparency, compliance, and decision-making accuracy of an enterprise. METHODS: Therefore, how to design an efficient and scalable cloud data integrity verification algorithm becomes the key to ensuring the reliability and security of intelligent accounting systems. This paper proposes a cloud data integrity verification algorithm for smart accounting informationization based on a cloud computing environment. The algorithm combines the efficient data processing capability of cloud computing with the automation requirements of smart accounting systems to ensure data integrity during storage, transmission, and processing through various data validation techniques such as digital signatures, hash algorithms, and blockchain-based distributed ledgers. RESULTS: The algorithm design considers the dynamics and scalability of the cloud computing environment. It can realize fast, real-time data validation and integrity detection in a large-scale data environment. Through experimental verification, the algorithm proposed in this paper performs well in processing large-scale accounting data with high verification efficiency and accuracy. CONCLUSION: Compared with traditional validation methods, the algorithm improves the speed of data validation. It enhances the system's ability to prevent data tampering and loss, providing a new cloud data integrity assurance scheme for intelligent accounting informatization systems.
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