Big Data Association Rule Algorithm for Encryption of Accounting Data

Abstract

As the scale of enterprises continues to expand, the complexity of management within enterprises continues to increase and the amount of data generated is becoming larger and larger. For accounting information systems, how to ensure data security, visualize data and ensure analysis and mining of data are important issues for enterprises to consider. This paper will discuss the encryption of accounting information systems in relation to the actual situation such as the internal management of accounting systems in the era of big data (BD). In this paper, firstly, the existence of irreversible security risks in AD is analysed. Secondly, the data is analysed and mined, and the accounting data (AD) is encrypted through association rule algorithms (ARA). Finally, data information that occurs in the enterprise information system in the midst of financial activities and is even directly related to financial operations is extracted and processed for association analysis to improve the security and visualisation of the financial information system in the whole system. In this paper, we analyse the causes and solutions of the security risks in the process of acquiring data from the accounting system and put forward suggestions for improvement after analysing the encryption process of AD.