Proceedings of the 2016 International Conference on Computer Engineering and Information Systems

The Research on BPNN-AdaBoost Model to Identify Web Servers

Authors
Zhen Huang, Chun-He Xia, Xiao Lu
Corresponding Author
Zhen Huang
Available Online November 2016.
DOI
https://doi.org/10.2991/ceis-16.2016.51How to use a DOI?
Keywords
bpnn; adaboost; identify web servers
Abstract
In this paper, the BPNN-AdaBoost model is used for identification of Web servers to avoid the recognition of Web servers depending on banner information, reduce the cost of being maintained the feature library, and improve the accurate identification of Web servers. Through the model to identify Web servers, it not only can accurately identify the Web server in the case of hidden or forged Banner information, but also we need not maintain the feature library after the model is trained. Experimental results show the accurate identification of BPNN-AdaBoost model is much better than other methods, and the stability is better than the BPNN algorithm.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Computer Engineering and Information Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2016
ISBN
978-94-6252-283-1
DOI
https://doi.org/10.2991/ceis-16.2016.51How 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  - Zhen Huang
AU  - Chun-He Xia
AU  - Xiao Lu
PY  - 2016/11
DA  - 2016/11
TI  - The Research on BPNN-AdaBoost Model to Identify Web Servers
BT  - 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
UR  - https://doi.org/10.2991/ceis-16.2016.51
DO  - https://doi.org/10.2991/ceis-16.2016.51
ID  - Huang2016/11
ER  -