Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Survey of Network Security Situation Awareness

Authors
Changlin He, Yufen Li
Corresponding Author
Changlin He
Available Online July 2017.
DOI
10.2991/iccse-17.2017.24How to use a DOI?
Keywords
Network security situation awareness, Model, Data fusion, Survey
Abstract

With the increasing significance of network space security continues, the research and application of network security situation awareness has gained more and more attention. In this paper, it described the development as well as the concept of network security situation awareness, then analyzed the structure model of network security situation awareness, lastly, according to the structure model from the situation factors based on multi-classifier fusion extraction, network security situation assessment as well as the prediction of network security situation, it analyzed three levels of the key technology of network security situation awareness.

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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Volume Title
Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
Series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
10.2991/iccse-17.2017.24
ISSN
2352-538X
DOI
10.2991/iccse-17.2017.24How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Changlin He
AU  - Yufen Li
PY  - 2017/07
DA  - 2017/07
TI  - Survey of Network Security Situation Awareness
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 136
EP  - 141
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.24
DO  - 10.2991/iccse-17.2017.24
ID  - He2017/07
ER  -