The Research on BPNN-AdaBoost Model to Identify Web Servers

DOI

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.

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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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  - Proceedings of the 2016 International Conference on Computer Engineering and Information Systems
PB  - Atlantis Press
SP  - 262
EP  - 266
SN  - 2352-538X
UR  - https://doi.org/10.2991/ceis-16.2016.51
DO  - 10.2991/ceis-16.2016.51
ID  - Huang2016/11
ER  -