MATEC Web Conf.
Volume 232, 20182018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|Number of page(s)||5|
|Section||Network Security System, Neural Network and Data Information|
|Published online||19 November 2018|
The Study of Information Security Risk Assessment Based on Support Vector Machine
Department of Mathematics, Dalian Maritime University, 116026 Liaoning, Dalian, China
a Corresponding author: email@example.com
This paper establishes an information security evaluation model based on support vector machine by analyzing the factors affecting information security risk assessment. We compared and analyzed the different kernel functions of support vector machine by MATLAB, the experimental results show that the radial basis kernel function can minimize the training error and make the training result more accurate. Meanwhile, we compared the information security risk assessment based on support vector machine and BP neural network, the experimental results show the former has less error and shorter time. Therefore, the information security evaluation model based on support vector machine is feasible.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.