Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

Research on Network Security Evaluation System Based on Fuzzy Comprehensive Evaluation Method

Authors
Xuepeng Huang
Corresponding Author
Xuepeng Huang
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.44How to use a DOI?
Keywords
Network security, Fuzzy algorithm, Comprehensive evaluation, Security evaluation,
Abstract
In today's world, the Internet has become an indispensable part of our daily life, work and study. In order to meet the growing needs of users, the network has been expanding, from inside and outside the network threat, is also a variety of threats in the network security. Based on the analysis of network security elements, the method of fuzzy mathematics is applied to the network security risk assessment and the network security risk is established by combining with the analytic hierarchy process (AHP) method, which is based on the network security risk assessment, which has many human factors and difficult to quantify the indicators. The fuzzy level comprehensive evaluation model of the model through the quantitative analysis of the risk value, you can intuitively show the system security posture.
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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuepeng Huang
PY  - 2017/01
DA  - 2017/01
TI  - Research on Network Security Evaluation System Based on Fuzzy Comprehensive Evaluation Method
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 361
EP  - 365
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.44
DO  - https://doi.org/10.2991/icefs-17.2017.44
ID  - Huang2017/01
ER  -