# An Accelerated Method for Protecting Data Privacy in Financial Scenarios Based on Linear Operation
## 1 Introduction  
In finance, a data-intensive industry, data is highly sensitive and valuable. Comprehensive protection of data and ownership of personal information has become important propositions in the use and management of data in the financial industry [1]. Nowadays, with the conglomeration of technology and finance, financial institutions tend to use big data technology to collect, store, and correlate and analyse massive amounts of financial data from scattered sources and in various formats, to draw useful insights from them and continuously upgrade the functions of financial services in the industry. In other words, financial institutions can use big data technology to further map the overall situation of enterprises, combine information concerning the industry growth, historical development status, and regional economic characteristics, and clarify the direction of the economy. On this basis, finance within the industrial chain can be upgraded through innovative financial products and optimised credit approval models to help enterprises solve their realistic financing dilemmas. At the same time, the enterprise's actual sales can be inferred by examining information such as tax payment, inventory, and capital turnover in multiple dimensions through big data technology, and its existing sales data can be reviewed and verified through analysis of the customer group's account capitalstock, financing needs, and risk reality. This can effectively help quality enterprises to better identify fraud, money laundering, and other risks while improving the financial support services of the industry chain [2; 3]. At the same time, the exponential growth of data volume is very important for the bank and financial industry, improving the security of financial information data [4; 5; 6]. As financial systems continue to increase and upgrade, more and more financial entities are interconnected in various ways, which also poses a huge challenge to information security regulation. Financial information is exposed to various potential threats, which may lead to serious consequences if financial information security is not well safeguarded [7; 8]. In addition, the application of cloud computing can effectively alleviate the load on the financial participants and enterprise groups in the industry chain, which are trying to build their information systems [9; 10]. At present, the upstream and downstream of the industry chain are mostly small and medium-sized enterprises. These enterprises generally have limited technical investment, and their information systems only support regular business operations and cannot match the need of financial institutions and financial technology enterprises. Under such circumstances, on the one hand, the enterprises in the chain cannot enjoy the dividends brought by supply chain finance, and on the other hand, the financial institutions will face the challenge of great difficulty in docking in developing and carrying out supply chain finance. Cloud computing breaks through the constraints of hardware and software, and is capable of allowing access by demand, which can solve the pressure of constructing and docking the information system. To a certain extent, this technology can meet the requirements of storage, calculation, and analysis of financial information in the industry chain, and significantly improve the digitalisation of the industry chain's financial business. In terms of practical application, with the support of cloud computing technology, financial institutions can cross-analyse key information such as the financial situation of enterprises in the whole industrial chain and the competitive relationship between enterprises, from multiple sources and in multiple dimensions, and make full use of them, so that all enterprises in the chain can share the dividends of supply chain finance [11]. Consequently, fin-tech, represented by big data technology and cloud computing applications, has played a significant role in the development of the financial industry.