Abstract
Due to the problem of inaccurate evaluation results of traditional methods for evaluating the effectiveness of network security knowledge training, a method for evaluating the effectiveness of network security knowledge training based on machine learning is designed. First, establish an evaluation index for the effectiveness of cybersecurity knowledge training, and then develop an evaluation standard for the effectiveness of cybersecurity knowledge training. The standard performance status is the teaching effect that employees should achieve after training. Finally, calculate the weight of each indicator to complete the evaluation of the effectiveness of cybersecurity knowledge training. The experimental comparison results show that the effectiveness evaluation method of network security knowledge training based on machine learning designed this time is more accurate than traditional methods, and has practical significance.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sheng, Qw. (2020). Effectiveness Evaluation of Network Security Knowledge Training Based on Machine Learning. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 340. Springer, Cham. https://doi.org/10.1007/978-3-030-63955-6_3
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DOI: https://doi.org/10.1007/978-3-030-63955-6_3
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