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.
Highlights
With the rapid development of science and technology in modern society, the application of information technology is becoming increasingly extensive, and information technology is playing a very important supporting role in many engineering fields [1,2,3]
Majed Rajab et al have proposed a comprehensive theoretical model based on the Theory of Planned Behavior (TPB), the Protection Motivation Theory (PMT), the Theory of General Deterrence (TGD), and the Theory of Organization (TO); this model has been applied to predict the willingness of college employees to comply with information security policies [10]
There are system engineering studies based on the neural networks, for example, Tealab summarized the time series prediction systems based on artificial neural network (ANN) [13]; Ghosh et al discussed a few common and uncommon methods of the input reconstruction of convolutional neural network (CNN) [14]; Loesche used a neural network (NN) method to evaluate and analyze the degree of authenticity of gender differences in academic performance [15]
Summary
With the rapid development of science and technology in modern society, the application of information technology is becoming increasingly extensive, and information technology is playing a very important supporting role in many engineering fields [1,2,3]. AHPbased system engineering analysis can process fuzzy information, its subjectivity is relatively high and it is easy to miss the objectivity of the fuzzy information To this end, based on existing research results, this paper applies the gray system theory [2224], and proposes fuzzy performance analysis method for the T&E of information security talents in colleges and universities, and gives analysis and explanation combining specific cases. The first part is an overview of the performance analysis of the T&E of information security talents in colleges and universities, and it analyzes the development of related technologies. The third part discusses performance analysis of the T&E of information security talents in colleges and universities based on the grey system theory, and it gives the detailed implementation process.
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