Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)

A Network Protocol Cluster Analysis Method Based on Basis Functions

Authors
Wei Wang, Wenhong Zhao
Corresponding Author
Wei Wang
Available Online March 2018.
DOI
10.2991/aetr-17.2018.20How to use a DOI?
Keywords
Protocol Analysis; Base-function; Protocol State; K-Means
Abstract

Network protocol analysis can help security personnel analyze network vulnerabilities. However, the network protocol analysis is confronted with more and more kinds of protocols and more and more complex issues. Firstly, based on the basis function of the network protocol structure representation method, the improved k-means clustering algorithm based on the basis function is presented. Finally, a network protocol analysis process based on basis function is presented. Performance analysis shows that the proposed method is superior to traditional matching methods and statistical methods.

Copyright
© 2018, 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 Advanced Engineering and Technology Research (AETR 2017)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
10.2991/aetr-17.2018.20
ISSN
2352-5401
DOI
10.2991/aetr-17.2018.20How to use a DOI?
Copyright
© 2018, 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  - Wei Wang
AU  - Wenhong Zhao
PY  - 2018/03
DA  - 2018/03
TI  - A Network Protocol Cluster Analysis Method Based on Basis Functions
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 96
EP  - 102
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.20
DO  - 10.2991/aetr-17.2018.20
ID  - Wang2018/03
ER  -