Abstract
With the continuous progress of Internet technology, more and more people are getting information through the network, so the number of cloud media is increasing, which brings great hidden danger to the network security. However, the traditional training management platform is difficult to deal with massive data, which leads to the imbalance of defense knowledge system in the platform and the instability of platform feedback. Therefore, a new network security defense knowledge training management platform is designed. By setting the balance constraint index, optimize the load balance layout of the training management platform; build the service framework of the training management platform, obtain the training user clustering results; set up training courses, realize the design of the network security defense knowledge training management platform. The test results show that compared with the traditional design platform, the stability of the designed platform is higher under the condition of massive network security defense knowledge. It can be seen that the designed platform is more in line with the basic requirements of network security defense.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhou, Jy., Zhou, Cr. (2020). Design of Network Security Defense Knowledge Training Management Platform Under Cloud Media. 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_10
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DOI: https://doi.org/10.1007/978-3-030-63955-6_10
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