Security Risk Identification of Financial Accounting Software System Based on SVM

The application of accounting software system not only brings convenient and fast information services to human beings, but also brings many potential safety hazards because of its interactive information, resource sharing and network transmission. Learning to recognize these security risks, finding out the reasons and taking necessary preventive measures is the basic guarantee for the normal operation of the financial information system. Enterprise financial accounting information is not only the indispensable information of the capital market, but also the important information source of the government’s macro and micro management of the national economy. The authenticity of financial accounting information is its foundation and guarantee, especially important. In this paper, the framework of classification and recognition model of support vector machine (SVM) is constructed, and the risk of accounting information is identified by SVM algorithm.