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2020 | OriginalPaper | Chapter

Effectiveness Evaluation of Network Security Knowledge Training Based on Machine Learning

Author : Quan-wei Sheng

Published in: e-Learning, e-Education, and Online Training

Publisher: Springer International Publishing

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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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Metadata
Title
Effectiveness Evaluation of Network Security Knowledge Training Based on Machine Learning
Author
Quan-wei Sheng
Copyright Year
2020
Book
e-Learning, e-Education, and Online Training

Print ISBN: 978-3-030-63954-9

Electronic ISBN: 978-3-030-63955-6

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-63955-6_3

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