Information Security Integration Model of Computerized Accounting System Based on Deep Learning

Abstract

With the further development of China’s capital market system, accounting computerization is in urgent need of injecting fresh blood. In view of the surge of financing needs of small and medium-sized growth and innovative enterprises, it serves as a further expansion of the service scope of the main board market. Growth Enterprise Market (GEM) was officially listed in 2009, with a history of more than ten years. As a typical representative of the real economy, once the listed companies have financial difficulties, they will not only suffer huge losses, but also seriously damage the interests of investors, and may even have a huge impact on the stable development of the whole economy and society. The openness and sharing characteristics of the network lead to huge network information security risks in the computerized accounting system. Only by scientifically researching the computerized accounting system of listed companies in China, can we find the inducement of financial distress in time and take effective preventive measures to avoid irreparable losses. In recent years, deep learning has achieved remarkable results in the field of computerized accounting. The development of deep learning has not only broken through many difficult problems that traditional algorithms can’t solve, but also improved the cognitive level of information security of computerized accounting system, and promoted the progress of information security integration model of computerized accounting system based on deep learning.