Quantitative Assessment Model of IT Operation and Maintenance Operation Risk Based on the Digital Twin Model

Author:

Qin Zhongyu1ORCID,Liang Shaoyu2,Liu Qin3

Affiliation:

1. Educational Technology Center, Guangzhou Railway Polytechnic, Guangzhou 510430, Guangdong, China

2. Office of Academic Research, Guangzhou Huashang Vocational College, Guangzhou 511300, Guangdong, China

3. Accounting Institute, Guangdong Polytechnic of Science and Trade, Guangzhou 510640, Guangdong, China

Abstract

In recent years, with the popularization of computer and information network technology, the core business of more and more industries has basically realized informatization office. Although the informatization office has brought a lot of convenience to people, the increasingly complex informatization infrastructure equipment has also buried many hidden dangers for people. More and more security incidents are caused by unfamiliarity with these infrastructures. How to use the information infrastructure correctly has become a problem considered by more and more enterprise information security departments, and the position of IT operation and maintenance is born to solve this hidden danger. The IT (Internet Technology) operation and maintenance personnel of each enterprise formulate a set of operational risk quantitative assessment models for the enterprise based on the internal information infrastructure equipment of the enterprise so that the enterprise staff can use these infrastructure equipment efficiently and safely. This paper focused on the quantitative assessment model of IT operation and maintenance operation risk constructed by the digital twin model. The quantitative assessment model of IT operation and maintenance operation risk constructed by the digital twin model was compared with the quantitative assessment model of IT operation and maintenance operation risk constructed by other traditional models. The comparison results showed that the output results of the evaluation model constructed by the digital twin model were closer to the actual results, and the accuracy rate was 35.9% higher than that of the previous operational risk assessment model.

Funder

Key Scientific Research Platform and Scientific Research Project of Guangdong Universities in 2018

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digital twins in safety analysis, risk assessment and emergency management;Reliability Engineering & System Safety;2024-06

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