| Issue |
MATEC Web Conf.
Volume 336, 2021
2020 2nd International Conference on Computer Science Communication and Network Security (CSCNS2020)
|
|
|---|---|---|
| Article Number | 08004 | |
| Number of page(s) | 11 | |
| Section | Network and Information Security | |
| DOI | https://doi.org/10.1051/matecconf/202133608004 | |
| Published online | 15 February 2021 | |
Research on security situation assessment algorithm under virtual technology of cloud platform
Jiangxi Radio and Television University Jiujiang Branch, Department of Teaching. Jiujiang City, Jiangxi Province, 332000, China
* Corresponding author: 4657547@qq.com
With the increasing attacks and destructions against cloud platforms, the security guarantee mechanism of cloud platforms has also changed from traditional passive protectionto active defense. Situation assessment is a method that can actively analyze and evaluate thecurrent security risk status of the cloud platform, and is a key part of the whole process of situation awareness. This paper aims at a large number of virtual machines deployed in cloud platforms, on the basis of analysis and extraction of virtual layer security situation assessment elements, an improved adaptive genetic simulated annealing algorithm OAGSAA is proposed, and applied to BP neural network, which can effectively analyze and evaluate the security status of the virtual layer. Simulation experiment results show that the method has higher prediction accuracy and convergence speed, and can avoid falling into the local minimum.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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