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

Autor: Zhongyu Qin, Shaoyu Liang, Qin Liu
Rok vydání: 2022
Předmět:
Zdroj: Scientific Programming. 2022:1-8
ISSN: 1875-919X
1058-9244
DOI: 10.1155/2022/4210927
Popis: 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.
Databáze: OpenAIRE
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