Enhancing Accounting Informatization Through Cloud Data Integrity Verification: A Bilinear Pairing Approach

Abstract

In the digital age, integrating information technology into business, especially accounting, is paramount. This paper investigates the significant role of management accounting information technology amidst data abundance, emphasizing the need for enterprises to enhance their workforce’s analytical capabilities through data mining. Central to our discussion is a novel cloud data integrity verification approach based on bilinear pairing, eliminating reliance on local backups and server-side computations, thereby reducing network bandwidth and computational overhead. The proposed algorithm, employing a challenge-response mechanism and hash functions, ensures robust data integrity on cloud servers and introduces a data possession check scheme for efficient extensive file handling while enhancing privacy and transmission security. Through structured chapters covering a literature review, extensive data mining analysis, and a detailed algorithm description, the study advocates for diversified solutions to improve accounting information processing. Simulation experiments demonstrate a 21% improvement over traditional methods, underscoring the need to adapt accounting informatization to leverage data mining technology for informed decision-making and sustainable business growth. Additionally, the paper briefly discusses potential policy implications and recommendations for businesses considering cloud-based accounting solutions, thereby offering a comprehensive view of our findings’ impact on the accounting informatization field.