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

Authors

  • Lin Li 1 School of Computer science and technology, Wuhan University of Science and Technology, Wuhan 430065, China 2 Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China
  • Kai Zhang 1 School of Computer science and technology, Wuhan University of Science and Technology, Wuhan 430065, China 2 Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China
  • Tao Li 1 School of Computer science and technology, Wuhan University of Science and Technology, Wuhan 430065, China 2 Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China

DOI:

https://doi.org/10.3991/ijet.v15i05.13329

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.

Author Biographies

Lin Li, 1 School of Computer science and technology, Wuhan University of Science and Technology, Wuhan 430065, China 2 Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China

Lin Li, received the B.S. degree in computer science and technology, the M.S. degree in computer application, the Ph.D. degree in computer software and theory from Wuhan University of Science and Technology and Wuhan University. Her research interests include Information Security, Artificial Intelligence, deep learning and software engineering.

Kai Zhang, 1 School of Computer science and technology, Wuhan University of Science and Technology, Wuhan 430065, China 2 Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China

Kai Zhang, received the Ph.D. degree in system analyses and integrate from Huazhong University of Science and Technology.His research focuses on evolutionary computation and multi-criteria decision making.

Tao Li, 1 School of Computer science and technology, Wuhan University of Science and Technology, Wuhan 430065, China 2 Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, Wuhan 430065, China

Tao Li, received the B.S. degree in computer science and technology, the M.S. degree in computer application, the Ph.D. degree in Computer architecture from Wuhan University. His research interests include Information Security, Artificial Intelligence.

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Published

2020-03-13

How to Cite

Li, L., Zhang, K., & Li, T. (2020). A Performance Analysis Model for the Training and Education of Information Security Talents. International Journal of Emerging Technologies in Learning (iJET), 15(05), pp. 140–155. https://doi.org/10.3991/ijet.v15i05.13329

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Papers