Application of Big Data Technology in Enterprise Information Security Management and Risk Assessment

Literature Review

As the essential work of information systems and information asset security, the RA of IS has been widely studied and applied in recent years. The evaluation process of the RA method proposed by Wangen et al. (2018) mainly involves five core steps: first, analysis and identification of risk points; second, determination of the attribute of the consequences of the risks; third, determination of the attribute value of the consequences; fourth, calculation of the threat index brought on by the dangers; and fifth, overall sensitivity analysis and optimization of the results. Based on the specific data analysis information of Qingdao Haier Group, Kure et al. (2018) analyzed the impact of data analysis (DA) on enterprise data management and proposed relevant strategies to promote the effective application of DA in enterprise risk management (ERM). By establishing a management platform for contract critical information collection and risk control systems, Mayer et al. (2019) realized the integration of risk information and data of construction contracts. Also, professional DA was formed using grid management of the system and intelligent screening of the multi-dimensional analysis module, which was helpful to improve the identification ability of contract implicit risk and provide support for the business decision and ERM (Mayer et al., 2019).