Analysis of Network Security Situation Based on Principal Component Analysis and Phase Space Reconstruction

DOI

10.2991/mecs-17.2017.170How to use a DOI?

Keywords

Network Potential Hazard Trend Estimation; Estimation; Grey Relational Analysis; Support Vector Machine

Abstract

In order to improve the accuracy of network potential hazard trend estimation, a method of network potential hazard estimation based on the combination of grey relational analysis (GRA) and improved support vector machine (SVM) is proposed. At first, determine evaluation index weight by GRA, then optimize SVM parameter by particle swarm optimization (PSO) to establish network potential hazard trend estimation model, and finally, test the model's effectiveness by simulation experiment.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenzhi Zhu
PY  - 2016/06
DA  - 2016/06
TI  - Analysis of Network Security Situation Based on Principal Component Analysis and Phase Space Reconstruction
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 411
EP  - 416
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.170
DO  - 10.2991/mecs-17.2017.170
ID  - Zhu2016/06
ER  -