Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)

Network Security Situation Prediction Method based on Time Dimension Analysis

Authors
Jingjue Liu
Corresponding Author
Jingjue Liu
Available Online April 2019.
DOI
10.2991/icmeit-19.2019.28How to use a DOI?
Keywords
network security; security situation prediction; spatial data mining; spatiotemporal dimension.
Abstract

With the rapid improvement of productivity and social and economic level, the actual application of computer network and the scope of network information technology are increasing, network security and other related issues have become the current need for us to focus on the object of study. However, the existing prediction methods related to network security cannot make the most correct response and judgment to the desktop and factor values of future network security. In order to better deal with the relationship between network security factors on the impact of Internet security situation. This paper proposes a method to predict and analyze network security situation based on time dimension.

Copyright
© 2019, 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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Volume Title
Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
Series
Advances in Computer Science Research
Publication Date
April 2019
ISBN
978-94-6252-708-9
ISSN
2352-538X
DOI
10.2991/icmeit-19.2019.28How to use a DOI?
Copyright
© 2019, 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/).

Cite this article

TY  - CONF
AU  - Jingjue Liu
PY  - 2019/04
DA  - 2019/04
TI  - Network Security Situation Prediction Method based on Time Dimension Analysis
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 162
EP  - 165
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.28
DO  - 10.2991/icmeit-19.2019.28
ID  - Liu2019/04
ER  -