A Performance Analysis Model for the Training and Education of Information Security Talents

Lin Li, Kai Zhang, Tao Li

Abstract


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.

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Copyright (c) 2020 Lin Li, Kai Zhang, Tao Li


International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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