Abstract
The daily production and life of the people are producing much data, and the speed is getting faster, which marks the formal arrival of the big data age. At present, China is accelerating the information construction in various fields. With the advancement of the construction process, the demand for information security guarantee is becoming more important. But many people think that information security can be solved as long as technology is guaranteed. However, with the construction of information security risk assessment system, the evaluation process and evaluation contents have been constantly improved, but it still lacks a scientific method of assessment, and the assessment tools are not mature enough. So the problems in the actual application of the assessment are still serious. In this context, the research focus of this paper is the periodic assessment model of risk. Machine learning methods are used to automatically identify threats in the network. Risk measurement based on VAR and quantitative model of complex risk are proposed in this paper.
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Gong, X., Ye, W., Guo, Y., Chen, C. (2020). Application of Big Data Intelligent Algorithms in Enterprise Security Risk Control. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_223
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DOI: https://doi.org/10.1007/978-981-15-1468-5_223
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