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Security Evaluation Method of Distance Education Network Nodes Based on Machine Learning by Jiajuan Fang is a book available to read on EtoBox.

What is Security Evaluation Method of Distance Education Network Nodes Based on Machine Learning about?

In the distance education network, the node security problem is often not guaranteed. Therefore, a machine learning based distance education network node security evaluation method is designed to ensure the node security problem through the node security evaluation, and extract the attack characteristic attributes of the distance education network from the traffic and log information. According to this characteristic attribute, a network wide attack model of distance education network nodes is constructed based on hierarchical expansion. This paper uses AHP method to build a distance education network node security evaluation model based on machine learning, and tests the performance of this method. The test results show that this method has high accuracy and low error rate of network node security evaluation, which proves the evaluation performance of this method.

Author

Jiajuan Fang

Publisher

Springer Nature Switzerland : Imprint: Springer

Published

2023

Language

EN

ISBN

9783031200984

Subjects

Computer Science, Science, Stem