A performance analysis model for the training and education of information security talents

被引：0
作者：
Li L. [1 ,2 ]
Zhang K. [1 ,2 ]
Li T. [1 ,2 ]
机构：
[1] Wuhan University of Science and Technology, Wuhan
[2] Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan
来源：
International Journal of Emerging Technologies in Learning | 2020年 / 15卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Decision model; Higher education; Information security; Performance analysis; Talent training;
D O I：
10.3991/IJET.V15I05.13329
中图分类号：
学科分类号：
摘要：
There are many defects with the existing performance analysis system for the training and education (T&E) of information security talents in Chinese colleges, ranging from the difficulty in transforming fuzzy information to the lack of objectivity. To overcome these defects, this paper develops an improved performance analysis model for the T&E of information security talents. Firstly, the existing analysis strategies for the T&E performance of information security talents were fully analyzed, and a performance analysis indicator system was established through the analysis. Based on the established indicator system, the gray classification and fuzzy information transformation were discussed for the performance analysis. On this basis, a grey clustering model for the T&E of information security talents was constructed, and the realization of the corresponding algorithm was explained in details. The proposed model was proved feasible and effective through case analysis. In addition to theoretical innovation, our model also has a great potential in engineering, because the solving algorithm can effectively process fuzzy information with only a small sample set. © 2019 Kassel University Press GmbH.
引用
收藏
页码：140 / 155
页数：15
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